Electro-hydrogen chemical coupling system planning and design verification method and platform

Abstract

The embodiment of the invention relates to the technical field of simulation, in particular to an electro-hydrogen chemical coupling system planning design verification method and platform, and the method comprises the steps: building an electro-hydrogen chemical coupling system model, setting configuration parameters and a planning target for the coupling system model, and determining and executing a target planning algorithm according to the planning target to obtain a planning result, determining simulation parameters for the coupling system model according to the indication of the planning result; operating the coupling system model according to the simulation parameters to perform production simulation to obtain a corresponding production simulation result and simulation data of a plurality of equipment simulation models in the coupling system model in the simulation process; optimizing the simulation parameters according to the simulation data to obtain optimized simulation parameters, and operating the coupling system model again according to the optimized simulation parameters to perform production simulation to obtain an optimized production simulation result; and comparing the production simulation result with the optimized production simulation result, and selecting a target planning result. According to the scheme, energy conservation and consumption reduction can be realized, and the system operation stability is enhanced.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of simulation technology, and in particular to a planning, design and verification method and platform for an electric-hydrogen-chemical coupling system. Background Art

[0002] Hydrogen energy is a clean, carbon-free, flexible, efficient, widely available, and diversified secondary energy source. It is an ideal interconnected medium to support the large-scale development of new energy and promote the transformation of the traditional chemical industry. In this context, the stability, reliability, low carbonization, economy, and safety of the electric-hydrogen chemical coupling system in the form of multi-energy complementarity and multi-energy flow are several key issues that cannot be ignored.

[0003] The power of new energy power generation equipment is directly related to meteorological factors, and the power generation has obvious random fluctuations and instability. In the electric hydrogen chemical coupling system, the random fluctuations of photovoltaic, wind turbine and other power generation will affect the real-time power balance of the system, causing voltage and frequency fluctuations, directly affecting the power quality and stability of the system. This random fluctuation will bring many uncertainties to the electric hydrogen chemical coupling system, increase the risk of safe operation of the system, and the economy of the system cannot be guaranteed. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a planning, design and verification method and platform for an electric-hydrogen-chemical coupling system, which can reduce the safety operation risk of the electric-hydrogen-chemical coupling system, improve the economic efficiency of system operation, reduce carbon emissions, and enhance system safety and stability.

[0005] To solve the above technical problems, an embodiment of the present invention provides a planning, design and verification method for an electric-hydrogen-chemical coupling system, comprising: selecting multiple equipment simulation models in a pre-built model library to build an electric-hydrogen-chemical coupling system model, setting configuration parameters and planning goals for the coupling system model; executing a corresponding target planning algorithm according to the planning goals to obtain a planning result, and determining simulation parameters for the coupling system model according to the planning results; running the coupling system model to perform production simulation according to the simulation parameters to obtain corresponding production simulation results and simulation data of multiple equipment simulation models in the coupling system model during the simulation process; optimizing the simulation parameters according to the simulation data to obtain optimized simulation parameters, and running the coupling system model again to perform production simulation according to the optimized simulation parameters to obtain optimized production simulation results; comparing the production simulation result with the optimized production simulation result, and selecting the simulation parameters corresponding to one of the simulation results as the target planning result.

[0006] In addition, in some embodiments, before selecting multiple device simulation models from a pre-built model library to build an electric-hydrogen-chemical coupling system model, the method also includes: constructing multiple device simulation models based on simulation management software, and constructing the model library for storing each device simulation model based on the multiple device simulation models.

[0007] Before executing the target planning algorithm according to the planning target to obtain the planning result, the method also includes: setting a planning algorithm corresponding to each of the pre-planning targets for multiple pre-planning targets through a heuristic algorithm; executing the corresponding target planning algorithm according to the planning target to obtain the planning result includes: determining the pre-planning target that matches the planning target according to the planning target, and using the planning algorithm corresponding to the pre-planning target as the target planning algorithm; executing the target planning algorithm according to the planning target to obtain the planning result, and the planning result is used to instruct the coupled system model to perform production simulation to achieve the simulation parameters of the planning target.

[0008] In addition, in some embodiments, optimizing the simulation parameters according to the simulation data to obtain optimized simulation parameters includes: setting optimization boundary conditions as constraints, executing an optimization scheduling algorithm with the simulation data, the planning results and the configuration parameters as inputs, and obtaining the optimized simulation parameters; wherein the optimization boundary conditions are used to constrain at least one parameter value of the optimized simulation parameters.

[0009] In addition, in some embodiments, the comparison of the production simulation results with the optimized production simulation results includes: selecting an indicator to be evaluated, and performing data analysis on the production simulation results and the optimized production simulation results respectively; calculating the evaluation results of the indicator to be evaluated in the production simulation results and in the optimized production simulation results, comparing the evaluation results, and selecting simulation parameters of a simulation result corresponding to one evaluation result as the target planning result.

[0010] In addition, in some embodiments, there are multiple indicators to be evaluated; the comparison of evaluation results, selecting the simulation parameters of the simulation result corresponding to one evaluation result as the target planning result, includes: calculating the evaluation results of each indicator to be evaluated in the production simulation result and in the optimized production simulation result; converting each evaluation result into an evaluation score according to the preset indicator calculation rules of the indicator to be evaluated corresponding to the evaluation result; calculating the sum of the evaluation scores of each evaluation result of the production simulation result and the sum of the evaluation scores of each evaluation result of the optimized production simulation result, and selecting the simulation parameters corresponding to the simulation result with a higher score as the target planning result.

[0011] In addition, in some embodiments, the device simulation models in the model library include: photovoltaic power generation equipment model, wind power generation equipment model, electrochemical energy storage equipment model, alkaline water electrolysis hydrogen production equipment model, proton exchange membrane water electrolysis hydrogen production equipment model, synthetic ammonia equipment model, synthetic methane equipment model, synthetic methanol equipment model, hydrogen fuel cell equipment model, gas storage tank model, at least two of them or any combination thereof.

[0012] An embodiment of the present invention further provides a planning, design and verification platform for an electric-hydrogen-chemical coupling system, comprising: a production simulation module, used to build an electric-hydrogen-chemical coupling system model according to a plurality of equipment simulation models selected from a pre-built model library, and to receive user settings for the coupling system model from a human-computer interaction interface, as well as planning targets; a planning and design module, used to execute a corresponding target planning algorithm according to the planning targets to obtain planning results, and to determine simulation parameters for the coupling system model according to the planning results; a simulation computer, used to run the coupling system model for production simulation according to the simulation parameters, and to run the coupling system model again for production simulation according to the optimized simulation parameters; a real-time simulator, used to obtain corresponding production simulation results and simulation data of a plurality of equipment simulation models in the coupling system model during the simulation process, and to obtain optimized production simulation results; an operation optimization module, used to optimize the simulation parameters according to the simulation data to obtain the optimized simulation parameters; and an evaluation module, used to compare the production simulation results with the optimized production simulation results.

[0013] Compared with the prior art, the embodiments of the present invention select multiple equipment simulation models in a pre-built model library to build an electric-hydrogen-chemical coupling system model, set configuration parameters and planning goals for the coupling system model, determine and execute the target planning algorithm according to the planning goals to obtain planning results corresponding to the planning goals, and determine simulation parameters for the coupling system model according to the indication of the planning results; run the coupling system model to perform production simulation according to the simulation parameters to obtain corresponding production simulation results and simulation data of multiple equipment simulation models in the coupling system model during the simulation process; optimize the simulation parameters according to the simulation data to obtain optimized simulation parameters, and run the coupling system model again to perform production simulation according to the optimized simulation parameters to obtain optimized production simulation results; compare the production simulation results with the optimized production simulation results, and select the simulation parameters corresponding to one of the simulation results as the target planning results. The planning results obtained through the planning objectives determine the simulation parameters for preliminary simulation. The simulation parameters can be optimized based on the simulation results and simulation process data obtained by simulating the coupled system model under the simulation parameters. The simulation is performed again based on the optimized simulation parameters to obtain the optimized production simulation results. The target planning results are determined by comparing the two results. The optimal target planning results can be determined by verifying and optimizing the planning results. Using the target planning results to guide the construction and operation of the actual coupled system model can better meet the planning objectives and achieve the goals of energy conservation and emission reduction, reducing costs, and enhancing the stability of system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0015] Figure 1 A method for planning and designing a coupling system of electric hydrogen and chemical industry according to an embodiment of the present invention is provided. Figure 1 ;

[0016] Figure 2 A method for planning and designing a coupling system of electric hydrogen and chemical industry according to an embodiment of the present invention is provided. Figure 2 . DETAILED DESCRIPTION

[0017] To make the purpose, technical scheme and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the embodiments of the present invention, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can be implemented. The division of the following embodiments is for the convenience of description, and should not constitute any limitation on the specific implementation of the present invention. The various embodiments can be combined and referenced with each other without contradiction.

[0018] The terms "first" and "second" in the embodiments of the present application are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a system, product or device comprising a series of parts or units is not limited to the listed parts or units, but optionally also includes parts or units that are not listed, or optionally also includes other parts or units inherent to these products or devices. In the description of the present application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0019] Hydrogen energy is a clean, carbon-free, flexible, efficient, widely sourced, and diversified secondary energy. It is an ideal interconnected medium to support the large-scale development of new energy and promote the transformation of the traditional chemical industry. It is also an important carrier for achieving my country's "dual carbon" goal. In this context, the stability, reliability, low carbonization, economy, and safety of the electric-hydrogen chemical coupling system in the form of multi-energy complementarity and multi-energy flow are several key issues that cannot be ignored, and its planning, design, and verification have also become key issues that need to be solved urgently. In addition, the power of new energy power generation equipment is directly related to meteorological factors, and the power generation has obvious random volatility and instability. In the electric-hydrogen chemical coupling system, the random fluctuations of the power generation of photovoltaics, wind turbines, etc. will affect the real-time power balance of the system, causing fluctuations in voltage and frequency, which will directly affect the power quality and stability of the system. This random fluctuation will bring many uncertainties to the electric-hydrogen chemical coupling system and increase the risk of safe operation of the system, especially the electric hydrogen production and chemical synthesis part. In addition, for the electric-hydrogen chemical coupling system, reasonable system capacity configuration can also improve the economy of system operation and reduce the initial investment cost of system construction.

[0020] On this basis, the embodiment of the present invention provides a planning, design and verification method and platform for an electric-hydrogen-chemical coupling system, which improves the economic efficiency of system operation, reduces carbon emissions, and enhances system safety and stability through planning, design and verification of an electric-hydrogen-chemical coupling system. The scheme of the present invention will be described and introduced through multiple embodiments.

[0021] The first embodiment of the present invention relates to a method for verifying the planning and design of an electric-hydrogen-chemical coupling system. Figure 1 As shown in , the method in this embodiment specifically includes the following steps.

[0022] Step 101: Select multiple equipment simulation models from a pre-built model library to build an electric-hydrogen-chemical coupling system model, and set configuration parameters and planning goals for the coupling system model.

[0023] Specifically, since hydrogen energy has the dual attributes of energy carrier and industrial raw material, the synergy of electricity and hydrogen can promote the integration of renewable energy power generation and the chemical industry, and realize a hydrogen chemical system based on renewable energy. The electric hydrogen chemical coupling system in this embodiment refers to an efficient and coordinated electric-hydrogen-chemical coupling system model that provides hydrogen for chemical projects through electric hydrogen production. Users can select the equipment simulation model of the electric hydrogen chemical coupling system model to be built through the electric hydrogen chemical coupling system planning and design verification platform, and set configuration parameters for each equipment simulation model in the electric hydrogen chemical coupling system model. Configuration parameters refer to the relevant parameters required for the operation of each device simulation model. For example, when the device simulation model includes a photovoltaic / wind turbine model, its configuration parameters are resource data such as light intensity / wind speed, control strategy, simulation mode system parameters, etc. required for the operation of the photovoltaic / wind turbine model. This embodiment does not impose specific restrictions on this. At the same time, a planning target is set for the coupling system model. The planning target user wants the coupling system model to achieve or realize a certain parameter target during the planning period, such as the minimum total operating cost, the minimum carbon emission, or the maximum hydrogen production during the planning period. This embodiment does not impose specific restrictions on this. In actual applications, it can be selected and set according to needs.

[0024] In one example, before executing step 101, the method of this embodiment further includes: constructing a plurality of device simulation models based on the simulation management software, and constructing a model library for storing each device simulation model based on the plurality of device simulation models.

[0025] Specifically, multiple device simulation models can be constructed based on Simulink of MATLAB and a model library for storing the simulation models of each device can be built. The device simulation models stored in the model library include at least: photovoltaic power generation equipment model, wind power generation equipment model, electrochemical energy storage equipment model, alkaline water electrolysis hydrogen production equipment model, proton exchange membrane water electrolysis hydrogen production equipment model, synthetic ammonia equipment model, synthetic methane equipment model, synthetic methanol equipment model, hydrogen fuel cell equipment model, gas storage tank model, at least two or any combination thereof, and this embodiment does not make specific restrictions on this.

[0026] Step 102: executing a corresponding target planning algorithm according to the planning target to obtain a planning result, and determining simulation parameters for the coupled system model according to the planning result.

[0027] Specifically, the traditional energy system planning and design method is to carry out system design mainly for power supply around a single energy flow (such as cold, heat, electricity, and gas), but the electric hydrogen chemical coupling system has the characteristics of multi-energy coupling and "source-grid-load-storage" integration, emphasizing the comprehensive development and utilization of multiple energy sources, and can achieve complementary advantages of different energy systems in planning and operation, improve energy efficiency and reduce costs. This embodiment pre-targets different planning goals, comprehensively considers factors such as equipment investment, equipment energy efficiency, operating costs, energy prices, and energy load, and sets a planning algorithm for each planning goal. According to the planning goal set in step 101, the corresponding target planning algorithm is called, and the configuration parameters are input to obtain the planning results. The planning results are used to indicate the simulation parameters of the coupling system model, such as the number of equipment models involved in the simulation in the coupling system model, the capacity configuration of each equipment model, and other information, which provide reference for equipment selection and investment returns. This embodiment does not limit the specific content of the simulation parameters.

[0028] In one example, before executing the target planning algorithm according to the planning target to obtain the planning result in step 102, the method of this embodiment further includes: setting a planning algorithm corresponding to each pre-planning target for multiple pre-planning targets based on a heuristic algorithm.

[0029] Specifically, heuristic algorithms are proposed relative to optimal algorithms. The optimal algorithm for a problem refers to the optimal solution for each instance of the problem. A heuristic algorithm can be defined as an algorithm based on intuition or experience, which gives a feasible solution for each instance of the combinatorial optimization problem to be solved at an acceptable cost (referring to computing time, occupied space, etc.), and the degree of deviation between the feasible solution and the optimal solution may not be predictable in advance. This embodiment pre-sets different pre-planning targets, comprehensively considers factors such as equipment investment, equipment energy efficiency, operating costs, energy prices, energy load, etc., and pre-sets corresponding planning algorithms for each pre-planning target based on the heuristic algorithm. Different pre-planning targets can be automatically optimized through their corresponding planning algorithms to obtain the theoretically optimal planning results.

[0030] On this basis, step 102 may include the following steps: determining a pre-planning target that matches the planning target according to the planning target, and using the planning algorithm corresponding to the pre-planning target as the target planning algorithm; executing the target planning algorithm according to the planning target to obtain a planning result, and the planning result is used to indicate the simulation parameters of the coupled system model for production simulation to achieve the planning target.

[0031] Specifically, the planning target input by the user in step 101 is obtained, and the pre-planning target that matches the planning target is determined according to the planning target. This embodiment does not limit the matching method. The input planning method can be carried out in a selective manner. For example, when setting the planning target, a plurality of pre-planning target options are provided by the human-computer interaction interface. The pre-planning target selected by the user is the planning target, and the planning algorithm corresponding to the pre-planning target is the target planning algorithm. The planning target and configuration parameters can be input into the target planning algorithm to obtain the planning result. The planning result is used to indicate the simulation parameters of the coupled system model for production simulation to achieve the planning target, such as the number of equipment models involved in the simulation, the capacity configuration of each equipment model, the cut-in wind speed, the rated wind speed, the cut-out wind speed and other information. This embodiment does not impose specific restrictions on this.

[0032] Step 103: Run the coupled system model according to the simulation parameters to perform production simulation, and obtain corresponding production simulation results and simulation data of multiple equipment simulation models in the coupled system model during the simulation process.

[0033] Specifically, the simulation parameters obtained in step 102 are automatically sent to the coupling system model for production simulation, or the user can complete the simulation parameter import of the coupling system model in the interface by dragging, parameter setting, table entry, etc. The simulation can be based on a real-time simulator to perform long-term simulation analysis on the coupling system model guided by the planning results, and can realize accelerated simulation on the real-time simulator. Through the real-time (super real-time) simulation of the coupling system model, key operating data such as power generation and hydrogen production can be obtained, so as to study the operating results under different strategies, different system topologies, and different simulation cycles, so as to achieve the optimal combination of EMS (Energy Management System) strategy and system topology in a specific scenario. After the simulation is completed, the production simulation results of the coupling system model and the simulation data of multiple equipment simulation models in the coupling system model during the simulation process can be obtained. The production simulation results and simulation data can be displayed and analyzed online in the form of charts.

[0034] Step 104: Optimize simulation parameters according to the simulation data to obtain optimized simulation parameters, and run the coupled system model again according to the optimized simulation parameters to perform production simulation and obtain optimized production simulation results.

[0035] Specifically, since the simulation data of multiple equipment simulation models in the coupled system model are recorded throughout the simulation process of the coupled system model, in order to verify the planning results, the configuration parameters, planning results and simulation data are called to further optimize the simulation parameters. Specifically, the optimization can be performed by optimizing and solving the operation conditions of each device in the electric hydrogen chemical coupling system model through a user-defined algorithm based on high-level languages ​​such as Python and C#, and the processing conditions of each device are given based on the perspective of power balance, which is used to optimize the system energy management strategy and give new simulation parameters as optimized simulation parameters. This embodiment does not limit the specific method of optimization. After obtaining the optimized simulation parameters, the simulation is performed again based on the real-time simulator using the same simulation cycle, environmental resource data, etc. as the previous simulation to obtain the optimized production simulation results of the coupled system model under the guidance of the optimized simulation parameters.

[0036] It should be noted that the simulation parameters corresponding to the planning results in this embodiment may also be real historical parameters of the real coupling system. By executing the above step 104, the real historical parameters may also be optimized.

[0037] In one example, optimizing simulation parameters according to simulation data to obtain optimized simulation parameters includes: setting optimization boundary conditions as constraints, executing an optimization scheduling algorithm with simulation data, planning results, and configuration parameters as inputs, and obtaining optimized simulation parameters; wherein the optimization boundary conditions are used to constrain at least one parameter value in the optimized simulation parameters.

[0038] Specifically, the optimization solution supports loading user-defined optimization scheduling algorithms based on high-level languages ​​such as Python and C#, provides an interface program for user algorithms to interact with the database, and supports user-defined development of related algorithms and execution; it is used to coordinate the output plans of various equipment in the entire electric hydrogen chemical coupling system, so that the outputs of different equipment can complement each other, improve energy utilization, and reduce operating costs. Set the optimization boundary conditions as constraints, use simulation data, planning results, and configuration parameters as inputs to execute the optimization scheduling algorithm, and obtain optimized simulation parameters; wherein, the optimization boundary conditions are used to constrain at least one parameter value in the optimization simulation parameters, such as electricity prices, gas prices, equipment capacity limits, hydrogen sales prices, investment amounts, etc., and this embodiment does not impose specific restrictions on this.

[0039] Step 105: Compare the production simulation result with the optimized production simulation result, and select the simulation parameters corresponding to one of the simulation results as the target planning result.

[0040] Specifically, an evaluation angle can be determined based on actual needs. By comparing the production simulation results with the optimized production simulation results, simulation parameters corresponding to a simulation result that better meets the requirements can be selected as the target planning result. This embodiment does not limit the specific method of comparison and selection.

[0041] In an example, comparing the production simulation results with the optimized production simulation results may include the following steps: selecting an indicator to be evaluated, and performing data analysis on the production simulation results and the optimized production simulation results respectively; calculating the evaluation results of the indicator to be evaluated in the production simulation results and in the optimized production simulation results, comparing the evaluation results, and selecting simulation parameters of a simulation result corresponding to one evaluation result as the target planning result.

[0042] Specifically, the indicator to be evaluated is an indicator that reflects the simulation result from a certain perspective. The indicator to be evaluated may be carbon emissions, annual profit, rate of return, etc., and this embodiment does not impose specific restrictions on this. By performing data analysis on the production simulation results and the optimized production simulation results, the evaluation results of the indicator to be evaluated in the production simulation results and in the optimized production simulation results are obtained, and the evaluation results are compared to make a selection. For example, when the indicator to be evaluated is only carbon emissions, the simulation parameter corresponding to a simulation result with a smaller evaluation result of carbon emissions can be selected as the target planning result.

[0043] In an example, Figure 2 As shown, when there are multiple indicators to be evaluated, the step of selecting the target planning result may include the following steps:

[0044] Step 201: Calculate the evaluation result of each indicator to be evaluated in the production simulation result and in the optimized production simulation result.

[0045] Step 202: Convert each evaluation result into an evaluation score according to a preset indicator calculation rule of the indicator to be evaluated corresponding to the evaluation result.

[0046] Step 203: Calculate the sum of the evaluation scores of the evaluation results of the production simulation results and the sum of the evaluation scores of the evaluation results of the optimized production simulation results, and select the simulation parameters corresponding to the simulation result with a higher score as the target planning result.

[0047] Specifically, this embodiment is aimed at the electric hydrogen chemical coupling system model. It can determine or select multiple indicators to be evaluated according to the actual needs of the user, and set an evaluation indicator model for each indicator to be evaluated. For example, it can be set as safety, economy, efficiency, reliability and low carbon according to actual needs. The evaluation results corresponding to each indicator can be calculated based on production simulation data and real-time operation data. Each evaluation result is then converted into an evaluation score according to the preset indicator calculation rules of the corresponding indicator to be evaluated. Finally, the weighted calculation is performed according to the weight of each evaluation indicator model to obtain the score of each dimension, and finally the total evaluation score of the system is obtained by weighted calculation. The evaluation score can be used to intuitively compare the production simulation results with the optimized production simulation results. The evaluation indicator results and evaluation scores support display on the page in the form of bar charts, line charts and tables, and can be displayed year by year, month by month, and day by day.

[0048] Compared with the related art, this solution builds an electric-hydrogen-chemical coupling system model by selecting multiple equipment simulation models from a pre-built model library, sets configuration parameters and planning goals for the coupling system model, determines and executes the target planning algorithm according to the planning goals to obtain the planning results corresponding to the planning goals, and determines the simulation parameters for the coupling system model according to the instructions of the planning results; runs the coupling system model for production simulation according to the simulation parameters to obtain the corresponding production simulation results and simulation data of multiple equipment simulation models in the coupling system model during the simulation process; optimizes the simulation parameters according to the simulation data to obtain optimized simulation parameters, and runs the coupling system model again for production simulation according to the optimized simulation parameters to obtain optimized production simulation results; compares the production simulation results with the optimized production simulation results, and selects the simulation parameters corresponding to one of the simulation results as the target planning results. The planning results obtained through the planning objectives determine the simulation parameters for preliminary simulation. The simulation parameters can be optimized based on the simulation results and simulation process data obtained by simulating the coupled system model under the simulation parameters. The simulation is performed again based on the optimized simulation parameters to obtain the optimized production simulation results. The target planning results are determined by comparing the two results. The optimal target planning results can be determined by verifying and optimizing the planning results. Using the target planning results to guide the construction and operation of the actual coupled system model can better meet the planning objectives and achieve the goals of energy conservation and emission reduction, reducing costs, and enhancing the stability of system operation.

[0049] Another embodiment of the present invention relates to a planning and design verification platform for an electric-hydrogen-chemical coupling system, specifically comprising:

[0050] The production simulation module is used to build an electric-hydrogen-chemical coupling system model based on multiple equipment simulation models selected from a pre-built model library, and receive configuration parameters and planning goals set by the user for the coupling system model from the human-computer interaction interface;

[0051] A planning and design module is used to execute the corresponding target planning algorithm according to the planning target to obtain the planning result, and determine the simulation parameters for the coupling system model according to the planning result;

[0052] A simulation computer, used for running the coupled system model according to simulation parameters to perform production simulation, and running the coupled system model again according to optimized simulation parameters to perform production simulation;

[0053] A real-time simulator is used to obtain corresponding production simulation results and simulation data of multiple equipment simulation models in a coupled system model during the simulation process, and to obtain optimized production simulation results;

[0054] Running an optimization module to optimize simulation parameters according to simulation data to obtain optimized simulation parameters;

[0055] Evaluation module for comparing production simulation results with optimized production simulation results.

[0056] Among them, the human-computer interaction page in this embodiment realizes the interaction path between the user and the platform, the real-time simulator solves the electric hydrogen chemical coupling system model in real time, and also runs the data acquisition and interface model and the algorithm interface model in real time. The data acquisition and interface model collects the data of each device in the electric hydrogen chemical coupling system model and stores it in the database to facilitate the call of modules such as data visualization and indicator evaluation. The algorithm interface model receives the control instructions issued by the operation optimization module and sends them to the electric hydrogen chemical coupling system model for execution. The simulation computer is a workstation running the Windows operating system. The simulation computer is installed with modeling and simulation management software to realize the construction of equipment models and system models, and can compile the electric hydrogen chemical coupling system model, and load and run it on the real-time simulator.

[0057] In one example, the planning, design and verification platform for the electric-hydrogen-chemical coupling system also includes: a system configuration module for storing configuration parameters of multiple equipment simulation models; a data visualization module for visually displaying the simulation data, the production simulation results, and the optimized production simulation results; and a data server for storing data information collected from the human-computer interaction interface, the real-time simulator, and the coupling system model.

[0058] Specifically, the system configuration module is used to store the configuration parameters of multiple equipment simulation models. The main functions of the system configuration include sub-modules such as multi-project management, data dictionary, equipment type and equipment parameter configuration, and system configuration. Among them, multi-project management can support the creation of multiple electric hydrogen chemical coupling systems, and different projects establish corresponding databases to achieve adaptive adjustment of the display content of different modules as the project changes, so that this platform has strong universality; the data dictionary is the data structure design interface of the sub-module of this platform. The description information of each data item in the data dictionary includes: field, meaning, unit, numerical type, and the data structure table of the entire database composed of each data item has the function of adding, deleting, modifying and checking; the equipment type sub-module is a module created for the equipment involved in the electric hydrogen chemical coupling system. This module calls the model library built on the digital twin technology based on "data-driven + model-driven" on the modeling and simulation management software in the simulation calculation background, and can add, delete, modify and check the equipment according to actual needs. The equipment involved in the electric hydrogen chemical coupling system includes but is not limited to: Photovoltaic power generation equipment, wind power generation equipment, electrochemical energy storage equipment, alkaline water electrolysis hydrogen production equipment, proton exchange membrane water electrolysis hydrogen production equipment, synthetic ammonia equipment, synthetic methane equipment, synthetic methanol equipment, hydrogen fuel cell equipment, gas storage tanks, loads and other new power systems, integrated energy and green hydrogen production, storage, transportation, use and other links of a series of key equipment models; parameter configuration realizes the online setting of parameters of the created equipment, and supports importing the platform in the form of Excel to preset equipment parameters; the system parameter configuration submodule can realize the setting of system-level parameters, supports importing the platform in the form of Excel to preset system parameters, and reserves the system energy management control strategy input interface, and supports loading user-defined energy management control algorithms based on Python or other high-level languages ​​such as C. Data server, dedicated to storing various data collected and received from human-computer interaction interface, real-time simulator and real system, energy management and operation optimization control instructions and evaluation index models. The data collected and stored include but are not limited to: equipment data information such as voltage, current, active power, hydrogen production, synthetic ammonia output, synthetic methanol output, synthetic methane output, etc.; environmental information such as temperature, wind speed, light intensity, etc.; energy price information; equipment control instruction information; and evaluation indicator model information.

[0059] In one example, the planning, design and verification platform for the electric-hydrogen-chemical coupling system also includes: an Ethernet switch for realizing the transmission of data, information and control instructions between the simulation computer, the real-time simulator and the data server.

[0060] It is not difficult to find that this embodiment is an embodiment of a simulation platform corresponding to the above embodiment, and the relevant technical details mentioned in the above embodiment are still valid in this embodiment, and will not be repeated here to reduce repetition. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the above embodiment.

[0061] The step division of the above methods is only for the purpose of clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs without changing the core design of the algorithm and process are all within the scope of protection of this patent.

[0062] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0063] Those skilled in the art will appreciate that the above-mentioned embodiments are specific examples for implementing the present invention, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present invention.

Claims

1. A planning and design verification method for an electric-hydrogen-chemical coupling system, characterized in that: include: Select multiple equipment simulation models from the pre-built model library to build an electric-hydrogen-chemical coupling system model, and set configuration parameters and planning goals for the coupling system model; Executing a corresponding target planning algorithm according to the planning target to obtain a planning result, and determining simulation parameters for the coupled system model according to the planning result; Run the coupled system model according to the simulation parameters to perform production simulation, and obtain corresponding production simulation results and simulation data of multiple equipment simulation models in the coupled system model during the simulation process; Optimizing the simulation parameters according to the simulation data to obtain optimized simulation parameters, and running the coupled system model again according to the optimized simulation parameters to perform production simulation to obtain optimized production simulation results; The production simulation result is compared with the optimized production simulation result, and the simulation parameters corresponding to one of the simulation results are selected as the target planning result.

2. The method according to claim 1, characterized in that Before selecting a plurality of equipment simulation models from a pre-built model library to build an electric-hydrogen-chemical coupling system model, the method further includes: A plurality of the device simulation models are constructed based on the simulation management software, and a model library for storing each of the device simulation models is constructed based on the plurality of the device simulation models.

3. The method according to claim 1, characterized in that Before executing the target planning algorithm according to the planning target to obtain the planning result, the method further includes: Setting a planning algorithm corresponding to each of the pre-planning objectives for the plurality of pre-planning objectives based on a heuristic algorithm; The executing a corresponding target planning algorithm according to the planning target to obtain a planning result includes: Determine the pre-planning target that matches the planning target according to the planning target, and use the planning algorithm corresponding to the pre-planning target as the target planning algorithm; The target planning algorithm is executed according to the planning target to obtain the planning result, and the planning result is used to indicate the simulation parameters of the coupled system model to perform production simulation to achieve the planning target.

4. The method according to claim 1, characterized in that: Optimizing the simulation parameters according to the simulation data to obtain optimized simulation parameters includes: The optimization boundary conditions are set as constraints, and the optimization scheduling algorithm is executed with the simulation data, the planning results and the configuration parameters as input to obtain the optimization simulation parameters; wherein the optimization boundary conditions are used to constrain at least one parameter value of the optimization simulation parameters.

5. The method according to claim 1, characterized in that The comparing the production simulation result with the optimized production simulation result comprises: Selecting indicators to be evaluated, and performing data analysis on the production simulation results and the optimized production simulation results respectively; Calculate the evaluation results of the indicator to be evaluated in the production simulation result and in the optimized production simulation result, compare the evaluation results, and select simulation parameters of the simulation result corresponding to the evaluation result as the target planning result.

6. The method according to claim 5, characterized in that There are multiple indicators to be evaluated; The comparing evaluation results and selecting a simulation parameter of a simulation result corresponding to an evaluation result as the target planning result include: Calculate the evaluation result of each of the indicators to be evaluated in the production simulation result and in the optimized production simulation result; Convert each of the evaluation results into an evaluation score according to the preset indicator calculation rule of the indicator to be evaluated corresponding to the evaluation result; The sum of the evaluation scores of the evaluation results of the production simulation result and the sum of the evaluation scores of the evaluation results of the optimized production simulation result are calculated, and the simulation parameters corresponding to the simulation result with a higher score are selected as the target planning result.

7. The method according to claim 2, characterized in that The equipment simulation models in the model library include: photovoltaic power generation equipment model, wind power generation equipment model, electrochemical energy storage equipment model, alkaline water electrolysis hydrogen production equipment model, proton exchange membrane water electrolysis hydrogen production equipment model, synthetic ammonia equipment model, synthetic methane equipment model, synthetic methanol equipment model, hydrogen fuel cell equipment model, gas storage tank model, at least two of them or any combination thereof.

8. A planning and design verification platform for an electric-hydrogen-chemical coupling system, characterized in that: include: The production simulation module is used to build an electric-hydrogen-chemical coupling system model according to multiple equipment simulation models selected from a pre-built model library, and receive configuration parameters and planning goals set by the user for the coupling system model from the human-computer interaction interface; A planning and design module, used for executing a corresponding target planning algorithm according to the planning target to obtain a planning result, and determining simulation parameters for the coupling system model according to the planning result; A simulation computer, used for running the coupled system model to perform production simulation according to the simulation parameters, and running the coupled system model again to perform production simulation according to the optimized simulation parameters; A real-time simulator, used to obtain corresponding production simulation results and simulation data of multiple equipment simulation models in the coupled system model during the simulation process, and to obtain optimized production simulation results; Running an optimization module, used for optimizing the simulation parameters according to the simulation data to obtain the optimized simulation parameters; An evaluation module is used to compare the production simulation result with the optimized production simulation result.

9. The platform according to claim 8, characterized in that Also includes: A system configuration module, used for storing configuration parameters of a plurality of the device simulation models; A data visualization module, used for visually displaying the simulation data, the production simulation results, and the optimized production simulation results; The data server is used to store data information collected from the human-computer interaction interface, the real-time simulator and the coupled system model.

10. The platform according to claim 9, characterized in that Also includes: The Ethernet switch is used to realize the transmission of data, information and control instructions between the simulation computer, the real-time simulator and the data server.

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