Power supply carbon emission adjusting method and system based on optimization algorithm

Abstract

The invention provides a power supply carbon emission adjusting method and system based on an optimization algorithm, and relates to the technical field of data processing, and the method comprises the steps: loading a target power supply scheme corresponding to a target power supply demand, carrying out the modeling according to a data twin system, and obtaining a power supply simulation model, and then performing simulation power supply to obtain simulation power supply data, obtaining a power supply carbon emission verification result through a power supply carbon emission verification model, generating a power supply carbon emission adjustment instruction and activating a power supply carbon emission adjustment and optimization algorithm when the result is unqualified, then performing adjustment and optimization to obtain a carbon emission adjustment and optimization power supply scheme, and performing power supply control according to the adjustment and optimization power supply scheme. The problems that an existing method is low in management efficiency and accuracy and lacks an effective carbon emission adjustment mechanism, and when the carbon emission exceeds the standard, a corresponding adjustment instruction cannot be rapidly generated for carbon emission optimization are mainly solved. Through the digital twin system and the simulation model, the operation state and the carbon emission condition of the power system can be accurately simulated, and efficient carbon emission adjustment is carried out.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and specifically to a power supply carbon emission regulation method and system based on an optimization algorithm. Background Art

[0002] With the acceleration of industrialization, the power industry has become one of the main sources of global greenhouse gas emissions, which has had a serious impact on climate change. Therefore, carbon emissions from the power industry have become an urgent problem to be solved. Climate change is mainly caused by human activities, especially carbon dioxide emissions from the burning of fossil fuels. This climate change has had a negative impact on the global ecosystem, including extreme weather, rising sea levels, and reduced biodiversity. The existing power supply carbon emission method estimates carbon emissions based on different carbon emission coefficients corresponding to different fuels. However, this method will produce large errors. Or install a carbon dioxide monitoring instrument at the exhaust port, and calculate the carbon emissions of the computer group in real time through actual measurement data. This method is more accurate, but it requires the installation of additional monitoring equipment. Carbon emission exceeding the standard: By real-time monitoring and evaluation of carbon emissions in the power supply process, timely discover the situation of carbon emissions exceeding the standard, and take corresponding optimization measures to reduce carbon emissions and meet the carbon emission constraints.

[0003] However, in the process of implementing the technical solution of the invention in the embodiment of the present application, it is found that the above technology has at least the following technical problems:

[0004] The existing methods have low management efficiency and accuracy, lack an effective carbon emission adjustment mechanism, and are unable to quickly generate corresponding adjustment instructions to optimize carbon emissions when carbon emissions exceed the standard. Summary of the invention

[0005] This application mainly solves the problems that the existing methods have low management efficiency and accuracy, lack an effective carbon emission adjustment mechanism, and cannot quickly generate corresponding adjustment instructions to optimize carbon emissions when carbon emissions exceed the standard.

[0006] In view of the above problems, this application provides a power supply carbon emission adjustment method and system based on an optimization algorithm.

[0007] In the first aspect, the present application provides a power supply carbon emission adjustment method based on an optimization algorithm, the method comprising: connecting an electric power supply system, loading a target electric power supply scheme corresponding to a target electric power supply demand; modeling the electric power supply system according to a digital twin system to obtain an electric power supply simulation model; based on the electric power supply simulation model, simulating power supply according to the target electric power supply scheme to obtain simulated power supply data; inputting the simulated power supply data into a power supply carbon emission verification model to obtain a power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission assessment model and a power supply carbon emission judgment model; when the power supply carbon emission verification result is that the power supply carbon emission is unqualified, generating a power supply carbon emission adjustment instruction, and activating a power supply carbon emission tuning algorithm according to the power supply carbon emission adjustment instruction; performing carbon emission tuning on the target electric power supply scheme according to the power supply carbon emission tuning algorithm to obtain a carbon emission optimized power supply scheme; and controlling the power supply of the electric power supply system according to the carbon emission optimized power supply scheme.

[0008] In the second aspect, the present application provides a power supply carbon emission regulation system based on an optimization algorithm, and the system includes: a power supply scheme loading module, which is used to connect to the power supply system and load the target power supply scheme corresponding to the target power supply demand; a power simulation model acquisition module, which is used to model the power supply system according to the digital twin system and obtain a power supply simulation model; a simulated power supply data acquisition module, which is based on the power supply simulation model and simulates the power supply according to the target power supply scheme to obtain simulated power supply data; a power supply carbon emission verification result acquisition module, which is used to obtain the simulated power supply data. Data is input into the power supply carbon emission verification model to obtain the power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission evaluation model and a power supply carbon emission judgment model; a tuning algorithm activation module, wherein the tuning algorithm activation module is used to generate a power supply carbon emission adjustment instruction when the power supply carbon emission verification result is that the power supply carbon emission is unqualified, and activate the power supply carbon emission tuning algorithm according to the power supply carbon emission adjustment instruction; an optimized power supply scheme acquisition module, wherein the optimized power supply scheme acquisition module is used to perform carbon emission tuning on the target power supply scheme according to the power supply carbon emission tuning algorithm to obtain a carbon emission tuned power supply scheme; a power supply control module, wherein the power supply control module is used to control the power supply of the power supply system according to the carbon emission tuned power supply scheme.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The present application provides a power supply carbon emission adjustment method and system based on an optimization algorithm, which relates to the field of data processing technology. The method includes: loading a target power supply plan corresponding to a target power supply demand, modeling according to a data twin system, obtaining a power supply simulation model, and then simulating power supply to obtain simulated power supply data, obtaining a power supply carbon emission verification result through a power supply carbon emission verification model, and when unqualified, generating a power supply carbon emission adjustment instruction and activating a power supply carbon emission tuning algorithm, and then performing tuning to obtain a carbon emission tuning power supply plan, and performing power supply control according to the tuned power supply plan.

[0011] This application mainly solves the problems of low management efficiency and accuracy of existing methods, lack of effective carbon emission regulation mechanism, and inability to quickly generate corresponding regulation instructions for carbon emission optimization when carbon emissions exceed the standard. Through digital twin systems and simulation models, the operating status and carbon emissions of power systems can be accurately simulated to perform efficient carbon emission regulation.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0014] Figure 1 A schematic flow chart of a power supply carbon emission adjustment method based on an optimization algorithm is provided for an embodiment of the present application;

[0015] Figure 2 A schematic flow chart of a method for obtaining a target power supply scheme in a power supply carbon emission adjustment method based on an optimization algorithm is provided for an embodiment of the present application;

[0016] Figure 3 A schematic flow chart of a method for generating a power supply carbon emission impact assessment coefficient in a power supply carbon emission adjustment method based on an optimization algorithm is provided for an embodiment of the present application;

[0017] Figure 4 A structural schematic diagram of a power supply carbon emission regulation system based on an optimization algorithm is provided for an embodiment of the present application.

[0018] Explanation of the reference numerals: power supply plan loading module 10 , power simulation model acquisition module 20 , simulated power supply data acquisition module 30 , power supply carbon emission verification result acquisition module 40 , tuning algorithm activation module 50 , tuning power supply plan acquisition module 60 , power supply control module 70 . DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0020] This application mainly solves the problems of low management efficiency and accuracy of existing methods, lack of effective carbon emission regulation mechanism, and inability to quickly generate corresponding regulation instructions for carbon emission optimization when carbon emissions exceed the standard. Through digital twin systems and simulation models, the operating status and carbon emissions of power systems can be accurately simulated to perform efficient carbon emission regulation.

[0021] In order to better understand the above technical solution, the above solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods:

[0022] Embodiment 1

[0023] like Figure 1 The power supply carbon emission adjustment method based on the optimization algorithm shown includes:

[0024] Connect to the power supply system and load the target power supply solution corresponding to the target power supply demand;

[0025] Specifically, establish a data interface with the power supply system. Establish a data interface through data acquisition equipment, network communication, etc. The data interface is to obtain real-time data of the power supply system, including power demand, energy resources, equipment operation status, etc. After obtaining the real-time data of the power supply system, process and analyze the data. The processing includes steps such as data cleaning, conversion, and normalization. According to actual needs, determine the target power supply demand. The target power supply demand can be obtained through user input, prediction model, etc. Generate a target power supply plan. This plan can be a specific scheduling plan, power supply planning, transmission line plan, etc.

[0026] Modeling the electric power supply system according to the digital twin system to obtain an electric power supply simulation model;

[0027] Specifically, the digital twin system is a technology that combines physical systems with digital models, and simulates and predicts physical systems through digital models. By modeling the power supply system based on the digital twin system, a power supply simulation model can be obtained. Through sensors, monitoring systems and other means, real-time data of the power supply system, including power demand, energy resources, equipment operating status, etc., can be collected. These data will serve as the basis for modeling. Based on the digital twin system, a power supply simulation model is established using the collected data. This model will simulate the operating status and behavior of the power supply system. After the model is established, the model is verified to ensure that it can accurately simulate the operating status and behavior of the power supply system. Verification can be performed by comparing the simulation results with the actual operating data.

[0028] Based on the electric power supply simulation model, simulate power supply according to the target electric power supply scheme to obtain simulated power supply data;

[0029] Specifically, the established power supply simulation model is imported into the simulation power supply software or system. In the simulation power supply software or system, the corresponding parameters and conditions are set according to the target power supply scheme. This includes the setting of parameters such as power demand, energy resources, and equipment operating status. According to the set parameters and conditions, the simulation power supply operation is started. The simulation power supply software or system will perform simulation calculations based on the power supply simulation model to simulate the operating status and behavior of the power system. During the simulation power supply operation, relevant simulation power supply data are collected. These data include power supply, demand, carbon emissions, energy consumption and other data. The collected simulation power supply data is processed and analyzed. This includes steps such as data cleaning, conversion, and normalization to better extract useful information and features. At the same time, the data is deeply analyzed to evaluate the feasibility and effectiveness of the target power supply scheme.

[0030] Inputting the simulated power supply data into a power supply carbon emission verification model to obtain a power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission assessment model and a power supply carbon emission judgment model;

[0031] Specifically, the collected simulated power supply data is organized into a standard format, including data such as power supply, demand, carbon emissions, and energy consumption. The power supply carbon emission verification model is imported into the corresponding software or system. The model should include a power supply carbon emission assessment model and a power supply carbon emission judgment model, which can evaluate and judge the input data. The simulated power supply data is input into the power supply carbon emission assessment model, and the model evaluates the carbon emissions based on the input data. The evaluation results include the calculation and analysis of carbon emissions, which can reflect the carbon emission level of the power supply plan. The simulated power supply data is input into the power supply carbon emission judgment model, and the model makes a judgment based on the evaluation results. The judgment result can be a judgment on whether the carbon emissions of the power supply plan meet the preset restrictions or targets, or a prediction and early warning of the carbon emission trend. According to the results of the power supply carbon emission judgment model, the corresponding verification results are output. The results can be displayed in the form of numerical values, charts, etc., providing detailed information and conclusions on the carbon emissions of the power supply plan.

[0032] When the power supply carbon emission verification result is that the power supply carbon emission is unqualified, a power supply carbon emission adjustment instruction is generated, and according to the power supply carbon emission adjustment instruction, a power supply carbon emission tuning algorithm is activated;

[0033] Specifically, the results of the power supply carbon emission verification are analyzed to determine whether there are any situations where carbon emissions exceed the standard or do not meet the preset restrictions. If there is an unqualified situation, proceed to the next step. If not, maintain the existing power supply plan. Based on the analysis of the power supply carbon emission verification results, generate corresponding power supply carbon emission adjustment instructions. These instructions should clearly indicate the aspects that need to be adjusted, such as adjusting the energy structure, optimizing the scheduling plan, etc. According to the generated power supply carbon emission adjustment instructions, activate the corresponding power supply carbon emission tuning algorithm. These algorithms should have the function of optimizing and adjusting the carbon emissions of the power system, and can improve and adjust the power supply plan according to the instructions. It can be an artificial intelligence algorithm. The algorithm based on the neural network can learn and predict the carbon emissions of the power system, and formulate corresponding optimization strategies based on this. The power supply carbon emission tuning algorithm is applied to the power system to perform corresponding optimization and adjustment calculations. This includes adjustments to power supply, demand, energy resources, etc. to achieve the reduction and optimization of carbon emissions.

[0034] Perform carbon emission optimization on the target power supply plan according to the power supply carbon emission optimization algorithm to obtain a carbon emission optimized power supply plan;

[0035] Specifically, the simulated power supply data is input into the power supply carbon emission optimization algorithm. These data should include detailed information such as power supply, demand, carbon emissions, energy consumption, etc. The algorithm will conduct an in-depth analysis of the input data to identify carbon emission hotspots and optimization potential in the power supply process. Based on the results of the carbon emission analysis, the algorithm will generate some optimization strategies. These strategies may include adjusting the energy structure, optimizing the scheduling plan, and improving energy efficiency. The algorithm will iteratively optimize the target power supply plan according to the optimization strategy to seek the optimal carbon emission plan. Evaluate multiple plans after iterative optimization and select the plan with the best carbon emission effect as the carbon emission optimization power supply plan.

[0036] The power supply system is controlled according to the carbon emission optimized power supply scheme.

[0037] Specifically, conduct an in-depth analysis of the carbon emission optimization power supply plan to clarify the specific requirements and goals of each optimization measure. Prepare corresponding resources, such as human resources, technical resources, equipment resources, etc., according to the needs of the carbon emission optimization power supply plan. Implement the power supply control strategy step by step according to the optimization measures in the carbon emission optimization power supply plan. This may include adjusting the energy structure, optimizing the scheduling plan, introducing new energy and other measures. In the process of implementing the power supply control strategy, the operating status and performance indicators of the power supply system should be monitored in real time. According to the monitoring results, adjust and optimize the power supply control strategy to ensure that it can achieve the expected carbon emission effect. Controlling the power supply system according to the carbon emission optimization power supply plan can achieve carbon emission optimization of the power system and promote sustainable development. At the same time, continuous monitoring, feedback and optimization are also important guarantees to ensure that the power supply control strategy can adapt to changes.

[0038] Furthermore, if Figure 2 As shown, the method of the present application connects the power supply system and loads the target power supply solution corresponding to the target power supply demand, including:

[0039] Connecting to the electric power supply system and reading the target electric power supply demand;

[0040] Retrieving a power supply record library of the power supply system, and performing principal component analysis on the power supply record library to obtain a power supply database;

[0041] According to the electric power supply database, training an electric power supply analysis model, wherein the electric power supply analysis model includes a plurality of electric power supply analysis indicators, and the plurality of electric power supply analysis indicators include a power supply energy ratio characteristic indicator and a power supply energy equipment control characteristic indicator;

[0042] The target power supply demand is input into the power supply analysis model to obtain the target power supply solution.

[0043] Specifically, the power supply system is connected to the data processing unit through a data interface or a network connection. It is implemented by wired or wireless means to ensure the stability and real-time performance of data transmission. The target power supply demand data is obtained from the power supply system. These data may include real-time demand, predicted demand, historical demand, etc. The power supply system is connected to the data processing unit through a data interface. The power demand data of the target time period is read from the system. For example, assuming that we want to predict the power demand in the next month, the power demand data of the same period in the past few years can be obtained from the system as a reference. The corresponding historical power supply and demand data, as well as other related characteristic indicators such as energy type, equipment status, etc. are extracted from the power supply record library. The extracted data is subjected to principal component analysis. Through statistical methods, the main factors affecting power supply, such as the main energy type, equipment operation status, etc., can be identified. These principal components will be incorporated into the power supply database as new characteristic indicators. According to the results of the principal component analysis, a power supply database is constructed. The database will include information such as historical power supply and demand data, related characteristic indicators, and the weight relationship between them. The constructed power supply database is used to train the power supply analysis model. Through training, the model will learn the data features in the database and adjust and optimize according to the actual operation. Input the target power supply demand into the trained power supply analysis model to obtain the corresponding target power supply plan. The plan will be optimized based on historical data and forecast results to meet future power demand. Before training the model, it is necessary to determine the indicators of power supply analysis. These indicators can be selected according to actual needs and system characteristics. Including: power supply energy ratio characteristic indicators and power supply energy equipment control characteristic indicators. Power supply energy ratio characteristic indicators: reflect the proportion and distribution of different energy types in power supply. For example, it can include the ratio of fossil energy to renewable energy, the ratio between various types of renewable energy, etc. Power supply energy equipment control characteristic indicators: reflect the operating status and control parameters of power supply equipment. For example, equipment operating efficiency, failure rate, scheduling plan, etc. Input the target power supply demand into the trained power supply analysis model. This demand can include future power demand, demand change trend and other related requirements and conditions. The model generates the corresponding target power supply plan based on the input target power supply demand and the data and characteristic indicators in the power supply database. The plan should meet the target needs while taking into account multiple factors such as economy and environmental friendliness.

[0044] Furthermore, the method of the present application inputs the simulated power supply data into a power supply carbon emission verification model to obtain a power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission assessment model and a power supply carbon emission judgment model, including:

[0045] Inputting the simulated power supply data into the power supply carbon emission assessment model to obtain a power supply carbon emission impact assessment coefficient;

[0046] Inputting the power supply carbon emission impact assessment coefficient into the power supply carbon emission judgment model to generate the power supply carbon emission verification result;

[0047] The power supply carbon emission judgment model includes a power supply carbon emission judgment operator, and the power supply carbon emission judgment operator includes that when the power supply carbon emission impact assessment coefficient is less than the power supply carbon emission impact assessment threshold, the power supply carbon emission verification result obtained is that the power supply carbon emission is qualified;

[0048] The power supply carbon emission judgment operator also includes when the power supply carbon emission impact assessment coefficient is greater than / equal to the power supply carbon emission impact assessment threshold, the power supply carbon emission verification result obtained is that the power supply carbon emission is unqualified.

[0049] Specifically, the simulated power supply data is input into the power supply carbon emission assessment model. These simulated data should contain various carbon emission information related to power supply, such as energy type, energy consumption, equipment operation status, etc. The power supply carbon emission assessment model calculates the power supply carbon emission impact assessment coefficient based on the input simulation data through the corresponding algorithm and model structure. This coefficient is used to quantify the carbon emission impact in the power supply process. The calculated power supply carbon emission impact assessment coefficient is input into the power supply carbon emission judgment model. The model makes a judgment based on the assessment coefficient and generates a corresponding power supply carbon emission verification result. The judgment operator in the power supply carbon emission judgment model compares the assessment coefficient with the preset power supply carbon emission impact assessment threshold to determine the verification result. According to the result of the judgment operator, the corresponding power supply carbon emission verification result is output. If the assessment coefficient is less than the threshold, the verification result is that the power supply carbon emission is qualified, and if the assessment coefficient is greater than or equal to the threshold, the verification result is that the power supply carbon emission is unqualified. According to the generated verification results, the power supply carbon emission assessment model and the judgment operator are adjusted and optimized as necessary to improve the accuracy and performance of the model. The power supply carbon emission verification process based on simulated data can be realized, providing guidance and basis for the carbon emission optimization of the actual power system.

[0050] Furthermore, if Figure 3 As shown, the method of the present application inputs the simulated power supply data into the power supply carbon emission assessment model to obtain the power supply carbon emission impact assessment coefficient, including:

[0051] Load multiple power supply carbon emission assessment record sets;

[0052] Performing supervised training on the multiple power supply carbon emission assessment record sets respectively to generate the power supply carbon emission assessment model, wherein the power supply carbon emission assessment model includes multiple power supply carbon emission assessors that meet the power supply carbon emission assessment accuracy constraint;

[0053] Retrieving multiple power supply carbon emission assessment accuracies corresponding to the multiple power supply carbon emission assessors, and performing ratio calculation on the multiple power supply carbon emission assessment accuracies to obtain multiple carbon emission assessment weights;

[0054] Inputting the simulated power supply data into the multiple power supply carbon emission assessors to obtain multiple simulated carbon emission impact assessment coefficients;

[0055] The multiple simulated carbon emission impact assessment coefficients are weighted calculated according to the multiple carbon emission assessment weights to generate the power supply carbon emission impact assessment coefficient.

[0056] Specifically, multiple power supply carbon emission assessment record sets are prepared, each record set contains data and labels related to power supply carbon emission. These record sets can come from actual power systems, simulation data or historical data. Multiple power supply carbon emission assessment record sets are supervised for training respectively, and each power supply carbon emission assessment record set is supervised for training, and multiple power supply carbon emission evaluators are generated using corresponding features and labels. Each evaluator corresponds to a specific power supply carbon emission assessment record set. During the training process, ensure that each power supply carbon emission evaluator meets the power supply carbon emission assessment accuracy constraint to improve the accuracy and reliability of the assessment. Multiple power supply carbon emission assessment accuracies corresponding to multiple power supply carbon emission evaluators are retrieved, and for each generated power supply carbon emission evaluator, the corresponding assessment accuracy is retrieved. The assessment accuracy can be an indicator such as accuracy and recall rate verified by a test data set. The proportion of multiple power supply carbon emission assessment accuracies is calculated to obtain multiple carbon emission assessment weights, and the proportion calculation is performed according to the assessment accuracy of each power supply carbon emission evaluator to determine its weight in the power supply carbon emission assessment. The proportion calculation can be based on accuracy, recall rate or other relevant indicators. After obtaining multiple carbon emission assessment weights, the weights of different assessors can be adjusted to adapt to different assessment needs and scenarios. Input the simulated power supply data into multiple power supply carbon emission assessors to obtain multiple simulated carbon emission impact assessment coefficients, and input the simulated power supply data into the multiple power supply carbon emission assessors generated previously. Each power supply carbon emission assessor calculates a simulated carbon emission impact assessment coefficient based on the input simulated data. These coefficients reflect the degree of impact of the simulated power supply data on carbon emissions. Multiple simulated carbon emission impact assessment coefficients are weighted according to multiple carbon emission assessment weights to generate power supply carbon emission impact assessment coefficients. Each simulated carbon emission impact assessment coefficient is weighted according to the multiple carbon emission assessment weights obtained previously. The result of the weighted calculation is the final power supply carbon emission impact assessment coefficient, which combines the results of multiple power supply carbon emission assessors and can more comprehensively reflect the carbon emission impact of the simulated power supply data. Supervised training based on multiple power supply carbon emission assessment record sets can be achieved to generate a power supply carbon emission assessment model that meets accuracy constraints and accurately assess the carbon emission impact of simulated power supply data.

[0057] Furthermore, the method of the present application performs carbon emission optimization on the target power supply scheme according to the power supply carbon emission optimization algorithm to obtain a carbon emission optimized power supply scheme, including:

[0058] Obtaining a preset power supply carbon emission adjustment index, wherein the preset power supply carbon emission adjustment index includes a power supply energy ratio adjustment index and a power supply energy equipment control adjustment index;

[0059] Based on the preset power supply carbon emission tuning index, the target power supply scheme is randomly adjusted multiple times to obtain a power supply scheme adjustment domain that meets the preset number of adjustment schemes;

[0060] Based on the target power supply demand, the power supply solution adjustment domain is screened for demand matching to construct a power supply adjustment screening domain;

[0061] Based on the carbon emission optimization constraint, the electric power supply adjustment screening domain is optimized and analyzed to generate the carbon emission optimization power supply plan.

[0062] Specifically, determine the goals and requirements of power supply carbon emission optimization, and set a series of preset power supply carbon emission optimization indicators. These indicators should include specific adjustment ranges or standards, such as power supply energy ratio adjustment indicators and power supply energy equipment control adjustment indicators. Ensure that the preset power supply carbon emission optimization indicators are reasonable, feasible and practical to meet the needs of carbon emission reduction and power supply. Based on the preset power supply carbon emission optimization indicators, make multiple random adjustments to the target power supply plan to obtain a power supply plan adjustment domain that meets the preset number of adjustment plans, and based on the preset power supply carbon emission optimization indicators, make multiple random adjustments to the target power supply plan. These adjustments can be random attempts at different energy ratios, equipment control parameters, etc. to find a better carbon emission reduction plan. Ensure that the adjusted power supply plan meets the preset number of adjustment plans to form a power supply plan adjustment domain. This adjustment domain contains a variety of possible carbon emission reduction plans, which provides a basis for subsequent screening and optimization. Based on the target power supply demand, the power supply plan adjustment domain is screened for demand matching, and a power supply adjustment screening domain is constructed to match and screen the target power supply demand with each plan in the power supply plan adjustment domain. Factors such as the degree of satisfaction of demand and the feasibility of the scheme should be considered during screening. After screening, a subset of power supply schemes that match the target demand is obtained to form a power supply adjustment screening domain. The schemes in this screening domain are more likely to meet the actual demand and carbon emission reduction targets. Based on the preset carbon emission optimization constraints, the schemes in the power supply adjustment screening domain are optimized. Various optimization algorithms, such as genetic algorithms and simulated annealing algorithms, can be used in the optimization process. Through optimization analysis, the optimal or near-optimal scheme that meets the carbon emission optimization constraints is found and used as the carbon emission optimization power supply scheme. This scheme achieves the best carbon emission reduction effect while meeting the power supply demand. A carbon emission optimization power supply scheme that meets the preset goals and requirements can be generated. This scheme is the optimization result obtained after comprehensive consideration of multiple factors, which can provide guidance for actual power supply and carbon emission reduction.

[0063] Furthermore, the method of the present application performs demand matching screening on the power supply scheme adjustment domain based on the target power supply demand to construct a power supply adjustment screening domain, including:

[0064] Extracting a first electric power supply adjustment scheme according to a plurality of electric power supply adjustment schemes within the electric power supply scheme adjustment domain;

[0065] Identifying a power supply margin according to the target power supply demand and the first power supply adjustment scheme to generate a first power supply margin;

[0066] Determining whether the first power supply margin satisfies a preset power supply margin constraint;

[0067] If the first power supply margin satisfies the preset power supply margin constraint, adding the first power supply adjustment scheme to the power supply adjustment registration domain;

[0068] If the first power supply margin does not satisfy the preset power supply margin constraint, the first power supply adjustment scheme is eliminated.

[0069] Specifically, the power supply margin refers to the additional power capacity or energy that the power system can provide after meeting the current power demand. It reflects the redundancy of the system and its ability to cope with sudden load growth. The first power supply margin is calculated based on the target power supply demand (i.e., the expected power consumption) and the first power supply adjustment scheme (a potential power supply configuration). This usually involves evaluating factors such as energy production, equipment capacity, and transmission efficiency in the adjustment scheme and comparing them with the target demand. The preset power supply margin constraint is a standard or threshold set in power system planning to ensure that the system has sufficient safety margin during normal operation to cope with uncertain factors (such as load fluctuations, equipment failures, etc.). The calculated first power supply margin is compared with the preset power supply margin constraint. This comparison can be a direct comparison of values ​​or a comprehensive evaluation based on certain performance indicators (such as stability, economy, etc.). If the first power supply margin meets or exceeds the preset constraint standard, it means that the first power supply adjustment scheme provides sufficient safety margin while meeting the current demand. In this case, the first power supply adjustment scheme is regarded as a feasible candidate and is added to the power supply adjustment registration domain. This registration domain is a set that includes all power supply schemes that have been preliminarily screened and meet the basic requirements. If the first power supply margin is lower than the preset constraint standard, this indicates that the first power supply adjustment scheme may not provide sufficient security when the system encounters uncertain factors. In this case, it is considered that the scheme does not meet the robustness requirements of the power system, so it is eliminated and no longer considered for inclusion in the final power supply scheme. Different power supply adjustment schemes can be effectively screened and evaluated under the premise of ensuring the safety and stability of the power system.

[0070] Furthermore, the method of the present application performs optimization analysis on the electric power supply adjustment screening domain based on the carbon emission optimization constraint to generate the carbon emission optimization power supply plan, including:

[0071] Extracting a first candidate power supply solution according to the power supply adjustment screening domain;

[0072] According to the power supply carbon emission assessment model, obtaining a first candidate-power supply carbon emission impact assessment coefficient corresponding to the first candidate power supply scheme;

[0073] Taking the target power supply scheme as the initial optimal power supply scheme, and taking the power supply carbon emission impact assessment coefficient corresponding to the target power supply scheme as the initial optimal power supply carbon emission impact assessment coefficient;

[0074] Determining whether the first candidate-power supply carbon emission impact assessment coefficient is less than the initial optimal power supply carbon emission impact assessment coefficient;

[0075] If the first candidate-power supply carbon emission impact assessment coefficient is greater than / equal to the initial optimal power supply carbon emission impact assessment coefficient, the first candidate power supply scheme is used as the real-time optimal power supply scheme, and the first candidate-power supply carbon emission impact assessment coefficient is used as the real-time optimal power supply carbon emission impact assessment coefficient;

[0076] If the first candidate-power supply carbon emission impact assessment coefficient is less than the initial optimal power supply carbon emission impact assessment coefficient, the initial optimal power supply scheme is used as the real-time optimal power supply scheme, and the initial optimal power supply carbon emission impact assessment coefficient is used as the real-time optimal power supply carbon emission impact assessment coefficient;

[0077] According to the real-time optimal power supply plan and the real-time optimal power supply carbon emission impact assessment coefficient, the power supply adjustment screening domain is continuously iterated and optimized. When the number of iterative optimization times meets the carbon emission optimization constraint, the carbon emission optimized power supply plan is generated.

[0078] Specifically, a preliminary candidate scheme is selected from the power supply adjustment screening domain as the first candidate power supply scheme. This candidate scheme can be a preliminary optimization based on various standards (such as cost, feasibility, technical maturity, etc.). The first candidate power supply scheme is evaluated for carbon emission impact using the power supply carbon emission assessment model. By inputting the relevant data of the scheme, the model will output an evaluation coefficient to reflect the carbon emission impact of the scheme. The target power supply scheme is set as the initial optimal scheme, and its corresponding power supply carbon emission impact assessment coefficient is recorded. This coefficient can be used as a basis for comparison. The first candidate-power supply carbon emission impact assessment coefficient is compared with the initial optimal power supply carbon emission impact assessment coefficient. This comparison is used to determine the subsequent iterative optimization direction and strategy. If the first candidate-power supply carbon emission impact assessment coefficient is greater than or equal to the initial optimal power supply carbon emission impact assessment coefficient, the first candidate power supply scheme is regarded as the real-time optimal power supply scheme, and the corresponding real-time optimal power supply carbon emission impact assessment coefficient is updated. If the first candidate-power supply carbon emission impact assessment coefficient is less than the initial optimal power supply carbon emission impact assessment coefficient, the initial optimal power supply scheme is maintained as the real-time optimal scheme, and its corresponding initial optimal power supply carbon emission impact assessment coefficient is used. Based on the current real-time optimal solution and the corresponding evaluation coefficient, continue to iterate and optimize in the power supply adjustment screening domain. This process can use optimization algorithms (such as gradient descent method, genetic algorithm, etc.) to find a better solution. During the iterative optimization process, the number of iterations and termination conditions can be controlled according to the set carbon emission tuning constraints. The iterative process ends when the preset number of iterations is reached or other constraints are met. When the iterative optimization process ends, the final real-time optimal power supply plan is the carbon emission tuning power supply plan that meets the carbon emission tuning constraints. This plan is the optimization result obtained after comprehensive consideration of multiple factors, and can provide guidance for actual power supply and carbon emission reduction.

[0079] Embodiment 2

[0080] Based on the same inventive concept as the power supply carbon emission adjustment method based on the optimization algorithm in the aforementioned embodiment, Figure 4 As shown, the present application provides a power supply carbon emission regulation system based on an optimization algorithm, the system comprising:

[0081] A power supply scheme loading module 10, wherein the power supply scheme loading module 10 is used to connect to the power supply system and load a target power supply scheme corresponding to the target power supply demand;

[0082] An electric power simulation model acquisition module 20, wherein the electric power simulation model acquisition module 20 is used to model the electric power supply system according to the digital twin system to obtain an electric power supply simulation model;

[0083] A simulated power supply data acquisition module 30, wherein the simulated power supply data acquisition module 30 performs simulated power supply according to the target power supply scheme based on the power supply simulation model to obtain simulated power supply data;

[0084] A power supply carbon emission verification result acquisition module 40, wherein the power supply carbon emission verification result acquisition module 40 is used to input the simulated power supply data into a power supply carbon emission verification model to obtain a power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission assessment model and a power supply carbon emission judgment model;

[0085] The tuning algorithm activation module 50 is used to generate a power supply carbon emission adjustment instruction when the power supply carbon emission verification result is that the power supply carbon emission is unqualified, and activate the power supply carbon emission tuning algorithm according to the power supply carbon emission adjustment instruction;

[0086] An optimized power supply scheme acquisition module 60, wherein the optimized power supply scheme acquisition module 60 is used to perform carbon emission optimization on the target power supply scheme according to the power supply carbon emission optimization algorithm to obtain a carbon emission optimized power supply scheme;

[0087] The power supply control module 70 is used to control the power supply of the electric power supply system according to the carbon emission optimization power supply scheme.

[0088] Furthermore, the system includes:

[0089] A target power supply scheme acquisition module is used to connect to the power supply system and read the target power supply demand; retrieve the power supply record library of the power supply system and perform principal component analysis on the power supply record library to obtain a power supply database; train a power supply analysis model based on the power supply database, wherein the power supply analysis model includes multiple power supply analysis indicators, and the multiple power supply analysis indicators include power supply energy ratio characteristic indicators and power supply energy equipment control characteristic indicators; input the target power supply demand into the power supply analysis model to obtain the target power supply scheme.

[0090] Furthermore, the system includes:

[0091] The carbon emission verification result generation module is used to input the simulated power supply data into the power supply carbon emission assessment model to obtain the power supply carbon emission impact assessment coefficient; input the power supply carbon emission impact assessment coefficient into the power supply carbon emission judgment model to generate the power supply carbon emission verification result; wherein, the power supply carbon emission judgment model includes a power supply carbon emission judgment operator, and the power supply carbon emission judgment operator includes that when the power supply carbon emission impact assessment coefficient is less than the power supply carbon emission impact assessment threshold, the power supply carbon emission verification result obtained is qualified; the power supply carbon emission judgment operator also includes that when the power supply carbon emission impact assessment coefficient is greater than / equal to the power supply carbon emission impact assessment threshold, the power supply carbon emission verification result obtained is unqualified.

[0092] Furthermore, the system includes:

[0093] An assessment coefficient generation module is used to load multiple power supply carbon emission assessment record sets; perform supervised training on the multiple power supply carbon emission assessment record sets respectively to generate the power supply carbon emission assessment model, wherein the power supply carbon emission assessment model includes multiple power supply carbon emission evaluators that meet the power supply carbon emission assessment accuracy constraints; retrieve multiple power supply carbon emission assessment accuracies corresponding to the multiple power supply carbon emission evaluators, and perform percentage calculation on the multiple power supply carbon emission assessment accuracies to obtain multiple carbon emission assessment weights; input the simulated power supply data into the multiple power supply carbon emission evaluators to obtain multiple simulated carbon emission impact assessment coefficients; perform weighted calculation on the multiple simulated carbon emission impact assessment coefficients according to the multiple carbon emission assessment weights to generate the power supply carbon emission impact assessment coefficient.

[0094] Furthermore, the system includes:

[0095] A carbon emission optimized power supply plan generation module is used to obtain preset power supply carbon emission optimization indicators, wherein the preset power supply carbon emission optimization indicators include power supply energy ratio adjustment indicators and power supply energy equipment control adjustment indicators; based on the preset power supply carbon emission optimization indicators, the target power supply plan is randomly adjusted multiple times to obtain a power supply plan adjustment domain that meets the preset number of adjustment plans; based on the target power supply demand, the power supply plan adjustment domain is screened for demand matching to construct a power supply adjustment screening domain; based on the carbon emission optimization constraints, the power supply adjustment screening domain is optimized and analyzed to generate the carbon emission optimized power supply plan.

[0096] Furthermore, the system includes:

[0097] A power supply adjustment scheme elimination module is used to extract a first power supply adjustment scheme based on multiple power supply adjustment schemes within the power supply scheme adjustment domain; identify the power supply margin based on the target power supply demand and the first power supply adjustment scheme to generate a first power supply margin; determine whether the first power supply margin meets a preset power supply margin constraint; if the first power supply margin meets the preset power supply margin constraint, add the first power supply adjustment scheme to the power supply adjustment alignment domain; if the first power supply margin does not meet the preset power supply margin constraint, eliminate the first power supply adjustment scheme.

[0098] Furthermore, the system includes:

[0099] The optimized power supply scheme generation module is used to extract a first candidate power supply scheme according to the power supply adjustment screening domain; obtain a first candidate-power supply carbon emission impact assessment coefficient corresponding to the first candidate power supply scheme according to the power supply carbon emission assessment model; take the target power supply scheme as the initial optimal power supply scheme, and take the power supply carbon emission impact assessment coefficient corresponding to the target power supply scheme as the initial optimal power supply carbon emission impact assessment coefficient; judge whether the first candidate-power supply carbon emission impact assessment coefficient is less than the initial optimal power supply carbon emission impact assessment coefficient; if the first candidate-power supply carbon emission impact assessment coefficient is greater than / equal to the initial optimal power supply carbon emission impact assessment coefficient, take the first candidate-power supply carbon emission impact assessment coefficient as the initial optimal power supply carbon emission impact assessment coefficient. The candidate power supply scheme is the real-time optimal power supply scheme, and the first candidate-power supply carbon emission impact assessment coefficient is the real-time optimal power supply carbon emission impact assessment coefficient; if the first candidate-power supply carbon emission impact assessment coefficient is less than the initial optimal power supply carbon emission impact assessment coefficient, the initial optimal power supply scheme is used as the real-time optimal power supply scheme, and the initial optimal power supply carbon emission impact assessment coefficient is used as the real-time optimal power supply carbon emission impact assessment coefficient; according to the real-time optimal power supply scheme and the real-time optimal power supply carbon emission impact assessment coefficient, continue to iteratively optimize the power supply adjustment screening domain, and when the number of iterative optimization times meets the carbon emission optimization constraint, generate the carbon emission optimization power supply scheme.

[0100] Through the detailed description of the power supply carbon emission regulation method based on the optimization algorithm mentioned above, technical personnel in this field can clearly understand the power supply carbon emission regulation system based on the optimization algorithm in this embodiment. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0101] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A power supply carbon emission adjustment method based on an optimization algorithm, characterized in that: The method comprises: Connect to the power supply system and load the target power supply solution corresponding to the target power supply demand; Modeling the electric power supply system according to the digital twin system to obtain an electric power supply simulation model; Based on the electric power supply simulation model, simulate power supply according to the target electric power supply scheme to obtain simulated power supply data; Inputting the simulated power supply data into a power supply carbon emission verification model to obtain a power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission assessment model and a power supply carbon emission judgment model; When the power supply carbon emission verification result is that the power supply carbon emission is unqualified, a power supply carbon emission adjustment instruction is generated, and according to the power supply carbon emission adjustment instruction, a power supply carbon emission tuning algorithm is activated; Perform carbon emission optimization on the target power supply plan according to the power supply carbon emission optimization algorithm to obtain a carbon emission optimized power supply plan; The power supply system is controlled according to the carbon emission optimized power supply scheme.

2. The method according to claim 1, characterized in that Connect to the power supply system and load the target power supply solution corresponding to the target power supply demand, including: Connecting to the electric power supply system and reading the target electric power supply demand; Retrieving a power supply record library of the power supply system, and performing principal component analysis on the power supply record library to obtain a power supply database; According to the electric power supply database, training an electric power supply analysis model, wherein the electric power supply analysis model includes a plurality of electric power supply analysis indicators, and the plurality of electric power supply analysis indicators include a power supply energy ratio characteristic indicator and a power supply energy equipment control characteristic indicator; The target power supply demand is input into the power supply analysis model to obtain the target power supply solution.

3. The method according to claim 1, characterized in that The simulated power supply data is input into the power supply carbon emission verification model to obtain the power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission assessment model and a power supply carbon emission judgment model, including: Inputting the simulated power supply data into the power supply carbon emission assessment model to obtain a power supply carbon emission impact assessment coefficient; Inputting the power supply carbon emission impact assessment coefficient into the power supply carbon emission judgment model to generate the power supply carbon emission verification result; The power supply carbon emission judgment model includes a power supply carbon emission judgment operator, and the power supply carbon emission judgment operator includes that when the power supply carbon emission impact assessment coefficient is less than the power supply carbon emission impact assessment threshold, the power supply carbon emission verification result obtained is that the power supply carbon emission is qualified; The power supply carbon emission judgment operator also includes when the power supply carbon emission impact assessment coefficient is greater than / equal to the power supply carbon emission impact assessment threshold, the power supply carbon emission verification result obtained is that the power supply carbon emission is unqualified.

4. The method according to claim 3, characterized in that Inputting the simulated power supply data into the power supply carbon emission assessment model to obtain the power supply carbon emission impact assessment coefficient includes: Load multiple power supply carbon emission assessment record sets; Performing supervised training on the multiple power supply carbon emission assessment record sets respectively to generate the power supply carbon emission assessment model, wherein the power supply carbon emission assessment model includes multiple power supply carbon emission assessors that meet the power supply carbon emission assessment accuracy constraint; Retrieving multiple power supply carbon emission assessment accuracies corresponding to the multiple power supply carbon emission assessors, and performing ratio calculation on the multiple power supply carbon emission assessment accuracies to obtain multiple carbon emission assessment weights; Inputting the simulated power supply data into the multiple power supply carbon emission assessors to obtain multiple simulated carbon emission impact assessment coefficients; The multiple simulated carbon emission impact assessment coefficients are weighted calculated according to the multiple carbon emission assessment weights to generate the power supply carbon emission impact assessment coefficient.

5. The method according to claim 1, characterized in that The target power supply scheme is subjected to carbon emission optimization according to the power supply carbon emission optimization algorithm to obtain a carbon emission optimized power supply scheme, including: Obtaining a preset power supply carbon emission adjustment index, wherein the preset power supply carbon emission adjustment index includes a power supply energy ratio adjustment index and a power supply energy equipment control adjustment index; Based on the preset power supply carbon emission tuning index, the target power supply scheme is randomly adjusted multiple times to obtain a power supply scheme adjustment domain that meets the preset number of adjustment schemes; Based on the target power supply demand, the power supply solution adjustment domain is screened for demand matching to construct a power supply adjustment screening domain; Based on the carbon emission optimization constraint, the electric power supply adjustment screening domain is optimized and analyzed to generate the carbon emission optimization power supply plan.

6. The method according to claim 5, characterized in that The power supply scheme adjustment domain is screened for demand matching based on the target power supply demand to construct a power supply adjustment screening domain, including: Extracting a first electric power supply adjustment scheme according to a plurality of electric power supply adjustment schemes within the electric power supply scheme adjustment domain; Identifying a power supply margin according to the target power supply demand and the first power supply adjustment scheme to generate a first power supply margin; Determining whether the first power supply margin satisfies a preset power supply margin constraint; If the first power supply margin satisfies the preset power supply margin constraint, adding the first power supply adjustment scheme to the power supply adjustment registration domain; If the first power supply margin does not satisfy the preset power supply margin constraint, the first power supply adjustment scheme is eliminated.

7. The method according to claim 5, characterized in that The optimization analysis of the electric power supply adjustment screening domain is performed based on the carbon emission optimization constraint to generate the carbon emission optimization power supply plan, including: Extracting a first candidate power supply solution according to the power supply adjustment screening domain; According to the power supply carbon emission assessment model, obtaining a first candidate-power supply carbon emission impact assessment coefficient corresponding to the first candidate power supply scheme; Taking the target power supply scheme as the initial optimal power supply scheme, and taking the power supply carbon emission impact assessment coefficient corresponding to the target power supply scheme as the initial optimal power supply carbon emission impact assessment coefficient; Determining whether the first candidate-power supply carbon emission impact assessment coefficient is less than the initial optimal power supply carbon emission impact assessment coefficient; If the first candidate-power supply carbon emission impact assessment coefficient is greater than / equal to the initial optimal power supply carbon emission impact assessment coefficient, the first candidate power supply scheme is used as the real-time optimal power supply scheme, and the first candidate-power supply carbon emission impact assessment coefficient is used as the real-time optimal power supply carbon emission impact assessment coefficient; If the first candidate-power supply carbon emission impact assessment coefficient is less than the initial optimal power supply carbon emission impact assessment coefficient, the initial optimal power supply scheme is used as the real-time optimal power supply scheme, and the initial optimal power supply carbon emission impact assessment coefficient is used as the real-time optimal power supply carbon emission impact assessment coefficient; According to the real-time optimal power supply plan and the real-time optimal power supply carbon emission impact assessment coefficient, the power supply adjustment screening domain is continuously iterated and optimized. When the number of iterative optimization times meets the carbon emission optimization constraint, the carbon emission optimized power supply plan is generated.

8. The power supply carbon emission regulation system based on optimization algorithm is characterized by: The system comprises: A power supply scheme loading module, the power supply scheme loading module is used to connect to the power supply system and load a target power supply scheme corresponding to the target power supply demand; An electric power simulation model acquisition module, wherein the electric power simulation model acquisition module is used to model the electric power supply system according to the digital twin system to obtain an electric power supply simulation model; A simulated power supply data acquisition module, wherein the simulated power supply data acquisition module performs simulated power supply according to the target power supply scheme based on the power supply simulation model to obtain simulated power supply data; A power supply carbon emission verification result acquisition module, the power supply carbon emission verification result acquisition module is used to input the simulated power supply data into the power supply carbon emission verification model to obtain the power supply carbon emission verification result, wherein the power supply carbon emission verification model includes a power supply carbon emission assessment model and a power supply carbon emission judgment model; A tuning algorithm activation module, wherein the tuning algorithm activation module is used to generate a power supply carbon emission adjustment instruction when the power supply carbon emission verification result is that the power supply carbon emission is unqualified, and activate the power supply carbon emission tuning algorithm according to the power supply carbon emission adjustment instruction; An optimized power supply scheme acquisition module, the optimized power supply scheme acquisition module is used to perform carbon emission optimization on the target power supply scheme according to the power supply carbon emission optimization algorithm to obtain a carbon emission optimized power supply scheme; A power supply control module, the power supply control module is used to control the power supply of the electric power supply system according to the carbon emission optimization power supply scheme.

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