Regional energy interconnection-oriented comprehensive energy system carbon reduction benefit evaluation method
By building a carbon emission monitoring model for the power grid and gas network, calculating the carbon potential of the power grid and gas nodes, the problem of low accuracy in the evaluation of carbon reduction benefits in the existing technology is solved, and the refined carbon emission analysis of the integrated energy system is realized and Evaluate.
Patent Information
- Application Number
- CN202410514130.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-26
- Publication Date
- 2024-12-13
AI Technical Summary
The existing carbon reduction benefit evaluation method of integrated energy systems fails to effectively consider the carbon emission process of the power system, resulting in low accuracy of carbon reduction benefit evaluation.
Build a grid carbon emission monitoring model and a gas network carbon emission monitoring model, obtain the carbon potential of the grid node and gas node respectively, calculate and optimize the carbon emissions before and after, and then conduct carbon reduction assessments of the comprehensive energy system.
By combining the power network and the natural gas network, a refined analysis of carbon emissions in the integrated energy system is achieved, and the accuracy of carbon reduction benefits evaluation is improved.
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Figure CN119130165A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power carbon emission, and in particular to a method for evaluating the carbon reduction benefits of an integrated energy system for regional energy interconnection. Background Art
[0002] Carbon emissions is a general term for greenhouse gas emissions. With economic development, society is constantly progressing, but pollution prevention and environmental protection often cannot keep up with the pace of economic development, such as the impact of carbon emissions on the environment. Excessive carbon emissions will pollute the air, warm the earth's surface, promote the melting of icebergs, rise in sea levels, and flooding of coastal areas. It will also cause frequent droughts and floods in tropical and temperate zones. Therefore, controlling carbon emissions is an urgent obligation for people.
[0003] On the other hand, with the development of economy and the increase of population, the demand for energy is rising. The traditional energy supply mode has problems such as environmental pollution and resource depletion. Therefore, the integrated energy system of regional energy interconnection came into being. The integrated energy system of regional energy interconnection is a regional integrated energy system that uses multi-energy complementarity and smart energy technology to provide cooling, heating and electricity for multiple buildings. It can improve the efficiency of the entire regional energy system. By integrating multiple clean energy sources such as solar energy, wind energy, biomass energy, etc., it can increase the utilization of renewable energy and reduce pollutant emissions.
[0004] Therefore, it is necessary to evaluate the optimization effect of carbon emissions and the effects of different scheduling and optimization schemes, so as to evaluate and monitor the emission reduction measures of the integrated energy system of regional energy interconnection, identify problems and adjust strategies in a timely manner, ensure the effective use of resources and ensure the smooth realization of emission reduction targets.
[0005] The existing carbon reduction benefit assessment method for integrated energy systems does not take into account the specific carbon emission process of the power system, and has the problem of low accuracy in carbon reduction benefit assessment. Summary of the invention
[0006] The purpose of the present invention is to overcome the deficiencies of the prior art and to provide a method for evaluating the carbon reduction benefits of an integrated energy system for regional energy interconnection, with the aim of effectively improving the accuracy of the carbon reduction benefit evaluation of the integrated energy system.
[0007] A technical solution to achieve the above purpose is: a comprehensive energy system carbon reduction benefit assessment method for regional energy interconnection, including:
[0008] Construct carbon emission monitoring models for power grids and gas grids;
[0009] Based on the power grid carbon emission monitoring model and the gas grid carbon emission monitoring model, respectively obtaining the power grid node carbon potential and the gas node carbon potential before and after the comprehensive energy system is optimized;
[0010] Based on the carbon potential of the power grid node and the carbon potential of the gas node, obtaining the carbon emissions of the comprehensive energy system before and after optimization;
[0011] Obtaining a change in carbon emissions of the integrated energy system based on the carbon emissions before and after optimization;
[0012] Based on the change in carbon emissions of the integrated energy system, a carbon reduction assessment is performed on the integrated energy system.
[0013] Optionally, the calculation method of the carbon potential of the power grid node is:
[0014]
[0015] Among them, E n is the carbon potential of grid node n, P k,n is the power injected into the kth branch of the grid node n, P G,n is the output power of the generator connected to the grid node n, δ k,n is the carbon flow density injected into the kth branch of the grid node n, E G,n is the carbon emission intensity of the generator connected to the grid node n, and K is the number of branches connected to this node that inject power.
[0016] Optionally, the calculation method of the gas node carbon potential is:
[0017]
[0018] Among them, E gas,m is the carbon potential of natural gas network node m, Q ω,m is the gas flow rate of the gas well, δ ω,m is the carbon emission intensity of the gas well, Q gas,l is the gas flow rate in pipeline 1, δ gas,l is the carbon potential of the gas flow in pipeline 1, L g is the number of branches of the airflow flowing into the node m.
[0019] Optionally, based on the carbon potential of the power grid node and the carbon potential of the gas node, obtaining the carbon emissions of the comprehensive energy system before and after optimization includes:
[0020] Obtaining voltage and current signals of the grid nodes and calculating power consumption;
[0021] Based on the electric power and the carbon potential of the grid node, obtaining the carbon emission of the grid node;
[0022] Obtaining the gas flow rate of the gas node and calculating the gas power;
[0023] Based on the gas power and the carbon potential of the gas node, obtaining the carbon emission of the gas node;
[0024] Based on the carbon emissions of the power grid nodes and the carbon emissions of the gas nodes in the comprehensive energy system before and after optimization, the carbon emissions of the comprehensive energy system before and after optimization are obtained.
[0025] Optionally, calculate the electrical power usage including:
[0026] Calculate the electrical power delivered to the grid node based on the voltage and current signals;
[0027] Calculation of gas power includes:
[0028] The gas power delivered to the gas node is calculated according to the gas flow rate.
[0029] Optionally, before building the carbon emission monitoring model for the power grid and the gas grid, the following steps are included:
[0030] Evaluate the carbon reduction potential in the target area;
[0031] Formulate a carbon emission reduction optimization plan based on the carbon emission reduction potential information;
[0032] The carbon emission reduction optimization plan is executed in the target area to obtain the optimized integrated energy system.
[0033] Optionally, the carbon reduction potential information in the target area includes:
[0034] Based on the preset model architecture template and the carbon emission reduction potential information assessment library, a carbon emission reduction potential assessment model is constructed;
[0035] Acquire carbon emission data of users in the target area;
[0036] The user carbon emission data is input into the carbon emission reduction potential assessment model to obtain the carbon emission reduction potential information.
[0037] Optionally, the constructing of the carbon emission reduction potential assessment model includes: updating a preset carbon emission reduction potential information assessment library; the carbon emission reduction potential information assessment library includes: multiple groups of one-to-one corresponding potential standards and potential items.
[0038] Optionally, formulating a carbon emission reduction optimization plan based on the carbon emission reduction potential information includes:
[0039] Obtain original training samples, train a preset neural network model based on the original training samples, construct a carbon emission reduction optimization plan formulation model, input the carbon emission reduction potential information into the carbon emission reduction optimization plan formulation model, and obtain the carbon emission reduction optimization plan.
[0040] Optionally, the original training samples include carbon emission reduction optimization plans corresponding to carbon emission reduction potential information of different users actively provided by carbon emission reduction experts and technicians, and real cases of carbon emission reduction implemented in history.
[0041] The beneficial effects of the present invention are as follows: a carbon reduction benefit assessment method for an integrated energy system for regional energy interconnection proposed in the present invention combines the power network and the natural gas network, and specifically analyzes the carbon emissions of nodes in the power network and the natural gas network respectively, which can effectively improve the accuracy of the carbon reduction benefit assessment of the integrated energy system and realize the refined analysis of the carbon emissions of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] Figure 1 This is a flow chart of a method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to an embodiment of the present invention. DETAILED DESCRIPTION
[0043] In order to better understand the technical solution of the present invention, the following is a detailed description through specific embodiments:
[0044] In the integrated energy system, there are both primary energy sources such as natural gas and coal, and secondary energy sources such as electricity, heat, and refrigeration. Therefore, carbon emissions include actual carbon emissions (such as gas combustion) and virtual carbon emissions (such as electricity-related carbon emissions). The present invention combines the power network and the gas network to comprehensively evaluate the carbon reduction benefits of the integrated energy system for regional energy interconnection.
[0045] like Figure 1 As shown in the figure, a comprehensive energy system carbon reduction benefit evaluation method for regional energy interconnection includes:
[0046] Construct carbon emission monitoring models for power grids and gas grids;
[0047] Based on the power grid carbon emission monitoring model and the gas grid carbon emission monitoring model, respectively obtaining the power grid node carbon potential and the gas node carbon potential before and after the comprehensive energy system is optimized;
[0048] Specifically, the calculation method of the carbon potential of the grid node n is:
[0049]
[0050] Among them, E n is the carbon potential of grid node n, P k,n is the power injected into the kth branch of the grid node n, P G,n is the output power of the generator connected to the grid node n, δ k,n is the carbon flow density injected into the kth branch of the grid node n, E G,nis the carbon emission intensity of the generator connected to the grid node n, and K is the number of branches connected to this node that inject power.
[0051] The calculation method of the gas node carbon potential is:
[0052]
[0053] Among them, E gas,m is the carbon potential of natural gas network node m, Q ω,m is the gas flow rate of the gas well, δ ω,m is the carbon emission intensity of the gas well, Q gas,l is the gas flow rate in pipeline 1, δ gas,l is the carbon potential of the gas flow in pipeline 1, L g is the number of branches of the airflow flowing into the node m.
[0054] Based on the carbon potential of the power grid node and the carbon potential of the gas node, obtaining the carbon emissions of the comprehensive energy system before and after optimization;
[0055] Specifically, based on the carbon potential of the power grid node and the carbon potential of the gas node, obtaining the carbon emissions of the integrated energy system before and after optimization includes: obtaining the voltage and current signals of the power grid node and calculating the electric power; obtaining the carbon emissions of the power grid node based on the electric power and the carbon potential of the power grid node; obtaining the gas flow of the gas node and calculating the gas power; obtaining the carbon emissions of the gas node based on the gas power and the carbon potential of the gas node; obtaining the carbon emissions of the integrated energy system before and after optimization based on the carbon emissions of the power grid node and the carbon emissions of the gas node. The calculation formula for obtaining the carbon emissions of the power grid node based on the electric power and the carbon potential of the power grid node is: C n =E n P n , where P n is the electric power; based on the gas power and the carbon potential of the gas node, the calculation formula for obtaining the carbon emissions of the gas node is: C m =E gas,m P m , where P m Gas power consumption.
[0056] Calculating the electric power includes: calculating the electric power delivered to the grid node according to the voltage and current signals; calculating the gas power includes: calculating the gas power delivered to the gas node according to the gas flow.
[0057] Obtaining a change in carbon emissions of the integrated energy system based on the carbon emissions before and after optimization;
[0058] Based on the change in carbon emissions of the integrated energy system, a carbon reduction assessment is performed on the integrated energy system.
[0059] Before constructing the power grid carbon emission monitoring model and the gas grid carbon emission monitoring model, this method also includes: evaluating the carbon emission reduction potential information in the target area; formulating a carbon emission reduction optimization plan based on the carbon emission reduction potential information; executing the carbon emission reduction optimization plan in the target area to obtain the optimized integrated energy system.
[0060] Evaluating the carbon emission reduction potential information in the target area includes: constructing a carbon emission reduction potential evaluation model based on a preset model architecture template and a carbon emission reduction potential information evaluation library, wherein the construction of the carbon emission reduction potential evaluation model includes: updating a preset carbon emission reduction potential information evaluation library; the carbon emission reduction potential information evaluation library includes: multiple groups of one-to-one corresponding potential standards and potential items; obtaining user carbon emission data in the target area; inputting the user carbon emission data into the carbon emission reduction potential evaluation model to obtain the carbon emission reduction potential information.
[0061] User carbon emission data include: carbon emissions from various carbon emission sources within the user (such as oil combustion, coal stone combustion, etc.); when the user's carbon emission data meets the potential standard, the corresponding potential item is output as carbon emission reduction potential information, for example: the potential standard is that the carbon emissions generated by the user's gas combustion decreases month by month, which means that the user can continue to reduce gas combustion, and the potential item is to replace gas with other energy sources; the model architecture template is a tree query structure, and its tree nodes are various potential standards, leaf nodes are potential items, and when evaluating the gas carbon emission potential model, one by one query is made to determine whether the enterprise carbon emission data meets the potential standards on the tree nodes. When it meets the standards, the potential items on the corresponding leaf nodes are output as carbon emission reduction potential information.
[0062] The method of formulating a carbon emission reduction optimization plan based on the carbon emission reduction potential information includes: obtaining original training samples, training a preset neural network model based on the original training samples, and constructing a carbon emission reduction optimization plan formulation model, wherein the original training samples include active sources, such as carbon emission reduction optimization plans corresponding to carbon emission reduction potential information of different users actively provided by carbon emission reduction experts and technicians, and passive sources, such as real cases of carbon emission reduction in history; inputting the carbon emission reduction potential information into the carbon emission reduction optimization plan formulation model to obtain the carbon emission reduction optimization plan.
[0063] Based on the original training samples, a preset neural network model is trained to construct a carbon emission reduction optimization program formulation model, including: analyzing and determining whether the original training samples meet the training sample extraction conditions; when they meet the conditions, extracting training samples from the original training samples; based on the training samples, training the preset neural network model; using the neural network model trained to convergence as the carbon emission reduction optimization program formulation model; wherein the training sample extraction conditions include: the original training sample type is an active source and the first association weight of the source party provided by the original training sample is greater than or equal to the preset first weight and threshold; the first association weight includes: the sum of the first association weights of at least one first association record corresponding to the source party in the preset source party association record library corresponding to the target area; or the type is a passive source and the sum of the second association weights of the target area generated by the original training sample is greater than or equal to the preset second weight and threshold; the second association weight includes: the sum of the second association weights of at least one second association record corresponding to the target area generated in the preset target area association record library.
[0064] Those skilled in the art should recognize that the above embodiments are only used to illustrate the present invention, and are not intended to limit the present invention. As long as they are within the spirit of the present invention, any changes or modifications to the above embodiments will fall within the scope of the claims of the present invention.
Claims
1. A method for evaluating the carbon reduction benefits of an integrated energy system for regional energy interconnection, characterized in that: include: Construct carbon emission monitoring models for power grids and gas grids; Based on the power grid carbon emission monitoring model and the gas grid carbon emission monitoring model, respectively obtaining the power grid node carbon potential and the gas node carbon potential before and after the comprehensive energy system is optimized; Based on the carbon potential of the power grid node and the carbon potential of the gas node, obtaining the carbon emissions of the comprehensive energy system before and after optimization; Obtaining a change in carbon emissions of the integrated energy system according to the carbon emissions before and after optimization; Based on the change in carbon emissions of the integrated energy system, a carbon reduction assessment is performed on the integrated energy system.
2. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 1 is characterized in that: The calculation method of the carbon potential of the power grid node is: Among them, E n is the carbon potential of grid node n, P k,n is the power injected into the kth branch of the grid node n, P G,n is the output power of the generator connected to the grid node n, δ k,n is the carbon flow density injected into the kth branch of the grid node n, E G,n is the carbon emission intensity of the generator connected to the grid node n, and K is the number of branches connected to this node that inject power.
3. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 1 is characterized in that: The calculation method of the gas node carbon potential is: Among them, E gas,m is the carbon potential of natural gas network node m, Q ω,m is the gas flow rate of the gas well, δ ω,m is the carbon emission intensity of the gas well, Q gas,l is the gas flow rate in pipeline 1, δ gas,l is the carbon potential of the gas flow in pipeline 1, L g is the number of branches of the airflow flowing into the node m.
4. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 1 is characterized in that: Based on the carbon potential of the power grid node and the carbon potential of the gas node, obtaining the carbon emissions of the comprehensive energy system before and after optimization includes: Obtaining voltage and current signals of the grid nodes and calculating power consumption; Based on the electric power and the carbon potential of the grid node, obtaining the carbon emission of the grid node; Obtaining the gas flow rate of the gas node and calculating the gas power; Based on the gas power and the carbon potential of the gas node, obtaining the carbon emission of the gas node; Based on the carbon emissions of the power grid nodes and the carbon emissions of the gas nodes in the comprehensive energy system before and after optimization, the carbon emissions of the comprehensive energy system before and after optimization are obtained.
5. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 4 is characterized in that: Calculation of electrical power includes: Calculate the electrical power delivered to the grid node based on the voltage and current signals; Calculation of gas power includes: The gas power delivered to the gas node is calculated according to the gas flow rate.
6. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 1 is characterized in that: Before building the carbon emission monitoring model for the power grid and the gas grid, the following are involved: Evaluate the carbon reduction potential in the target area; Formulate a carbon emission reduction optimization plan based on the carbon emission reduction potential information; The carbon emission reduction optimization plan is executed in the target area to obtain the optimized integrated energy system.
7. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 6 is characterized in that: Information on carbon reduction potential within the target area includes: Based on the preset model architecture template and the carbon emission reduction potential information assessment library, a carbon emission reduction potential assessment model is constructed; Acquire carbon emission data of users in the target area; The user carbon emission data is input into the carbon emission reduction potential assessment model to obtain the carbon emission reduction potential information.
8. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 7 is characterized in that: The construction of the carbon emission reduction potential assessment model includes: updating a preset carbon emission reduction potential information assessment library; the carbon emission reduction potential information assessment library includes: multiple groups of one-to-one corresponding potential standards and potential items.
9. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 6 is characterized in that: The formulating of a carbon emission reduction optimization plan based on the carbon emission reduction potential information includes: Obtain original training samples, train a preset neural network model based on the original training samples, construct a carbon emission reduction optimization plan formulation model, input the carbon emission reduction potential information into the carbon emission reduction optimization plan formulation model, and obtain the carbon emission reduction optimization plan.
10. The method for evaluating carbon reduction benefits of an integrated energy system for regional energy interconnection according to claim 9 is characterized in that: The original training samples include carbon emission reduction optimization plans corresponding to the carbon emission reduction potential information of different users actively provided by carbon emission reduction experts and technicians, and real cases of carbon emission reduction in history.
Citation Information
Cited By
Carbon emission analysis method and system for multi-energy system and user
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