Power system carbon efficiency and carbon index space quantitative analysis processing system and method

Abstract

The invention discloses an electric power system carbon efficiency and carbon index space quantitative analysis processing system and method, and relates to the technical field of carbon efficiency quantitative analysis and processing, and the system comprises an electric power generation system carbon emission state information comprehensive acquisition module, a carbon emission intelligent analysis control system, and an electric power generation system carbon emission quantitative analysis data storage system. According to the spatial quantitative analysis processing system and method for the carbon efficiency and the carbon indexes of the electric power system, the level of the total carbon efficiency in the electric power production process is evaluated in a segmented manner by intelligently and automatically judging different achievement stages of the total indexes of carbon emission, historical judgment data is efficiently and safely stored, and meanwhile the carbon efficiency and the carbon indexes of the electric power system can be effectively improved. Carbon efficiency analysis and prediction results of the electric power production system are displayed to enterprise management personnel in real time, and when the carbon efficiency level is found to be abnormal, a carbon efficiency optimization scheme is automatically started, so that comprehensive management and control and automatic optimization control of electric power production enterprises and carbon emission are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon efficiency quantification analysis and processing, and in particular to a system and method for quantification analysis and processing of carbon efficiency and carbon index space of a power system. Background Art

[0002] The power system mainly includes: power sources, power networks and load centers. In the context of national carbon neutrality and carbon peak, the carbon emissions caused by the combustion of power generation fuels in thermal power generation units in power production enterprises are the main source of carbon emissions in the power production process. The fuels for thermal power generation mainly include three categories: solid fuel, gas fuel and liquid fuel, including coal, natural gas, heavy oil, etc. However, these fuels are raw materials with organic matter as the main component, and the exhaust gas after combustion contains a large amount of carbon compound greenhouse gases such as carbon dioxide.

[0003] With the popularization of electric vehicles, the development of systems that require a lot of electricity, such as the Internet and cloud computing, and the limitations of clean energy sources such as nuclear power, hydropower, photovoltaic energy, and wind power, thermal power generation will continue to be an important source of electricity supply in the foreseeable future, which will cause a lot of carbon emissions. Research on how to improve the automated control and intelligent optimization capabilities of power production enterprises in their own production processes has important social significance, economic value, and environmental value. Summary of the invention

[0004] The purpose of the present invention is to provide a system and method for spatial quantitative analysis and processing of carbon efficiency and carbon indicators of power systems. Based on the daily statistics of "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel usage of power production enterprises, it provides users with comprehensive spatial situation quantitative analysis and presentation of carbon efficiency and carbon indicators of power systems, and initiates corresponding security measures optimization plans for the security situation type of the current business system, thereby improving the active situation identification and automatic optimization capabilities of the comprehensive carbon efficiency of the power production system.

[0005] To achieve the above-mentioned purpose, the present invention provides a spatial quantitative analysis and processing system for carbon efficiency and carbon index of power system, including a comprehensive collection module for carbon emission status information of power generation system, which communicates with the operation status supervision module of power production system, and collects basic analysis data of monthly statistical carbon emission and carbon fuel usage of power enterprises;

[0006] The carbon emission intelligent analysis and control system automatically generates the carbon efficiency level judgment threshold and the capacity carbon index matching level threshold parameters based on the collected information, automatically judges the power generation system and comprehensively presents the change situation, and automatically starts the corresponding level of carbon efficiency optimization response strategy;

[0007] The carbon emission quantitative analysis and data storage system for power generation systems can store the collected daily statistical carbon emissions and carbon fuel usage of power companies, the daily carbon efficiency level of the power system and the matching level data of production capacity carbon indicators in real time and efficiently.

[0008] Preferably, the carbon emission intelligent analysis and control system includes a system carbon emission situation judgment and response decision module, which automatically judges and makes decision responses on the daily carbon efficiency level of the power production system and the matching level of the carbon index of the power production capacity;

[0009] The comprehensive situation presentation module drives the carbon efficiency situation analysis module, the carbon efficiency trend prediction module, and the carbon efficiency optimization suggestion module to perform corresponding operations;

[0010] Intelligent automatic optimization module, based on the judgment results of the system carbon emission situation judgment and response decision module, optimizes the carbon efficiency level and carbon emission index space of the power production system;

[0011] The carbon emission intelligent analysis and control integrated communication module communicates with the power production system operation status control module and drives the power production automation control system to execute the corresponding power production regulation strategy.

[0012] Preferably, the system carbon emission situation judgment and response decision module includes a power production system carbon efficiency analysis module and a power output and dual carbon index matching analysis module.

[0013] Preferably, the comprehensive situation presentation module includes a comprehensive situation presentation data processing and function driving module, a carbon efficiency situation analysis module, a carbon efficiency trend prediction module and a carbon efficiency optimization suggestion module.

[0014] The method of the power system carbon efficiency and carbon index spatial quantitative analysis and processing system comprises the following steps:

[0015] S1. Pre-operation, ensuring that the power production system cluster can operate normally, and ensuring that the power production system operation status control module and the carbon emission intelligent analysis and control integrated communication module can communicate normally;

[0016] S2. Start the initialization carbon efficiency optimization level configuration module to perform initialization settings on the carbon efficiency and carbon index space quantitative analysis of the power production system and the carbon efficiency model and carbon index space of the processing system;

[0017] S3. On the power production system cluster side, the power production system operation status supervision module mounts the data source, and the power production system operation status control module confirms that it can effectively receive instructions;

[0018] S4. Deploy the carbon efficiency and carbon index spatial quantitative analysis and processing system of the power production system on a single server;

[0019] S5. The power generation system carbon emission status information comprehensive collection module communicates with the power production system operation status supervision module deployed on the power production system cluster side to collect basic analysis data such as the monthly statistical carbon emissions and carbon fuel usage of the power company;

[0020] S6. The carbon emission intelligent analysis and control system automatically generates parameters such as the carbon efficiency level judgment threshold and the capacity carbon index matching level threshold based on the information collected by the comprehensive collection module, performs automatic judgment and comprehensive presentation of the changing situation, and automatically starts the corresponding level of carbon efficiency optimization response strategy;

[0021] S7. The carbon emission quantitative analysis and data storage system for the power generation system, according to the system settings, stores in real time and efficiently the daily statistical carbon emissions and carbon fuel usage of the power companies collected by the comprehensive collection module of the carbon emission status information of the power generation system, and the daily carbon efficiency level of the power system and the production capacity carbon index matching level generated by the system carbon emission situation judgment and response decision module of the carbon emission intelligent analysis and control system.

[0022] Preferably, S6 includes the following steps:

[0023] Step 1: The system carbon emission situation judgment and response decision module automatically judges and responds to the daily carbon efficiency level of the power production system and the carbon index matching level of the power production capacity based on the data collected by the comprehensive collection module of the carbon emission status information of the power generation system, and generates situation presentation driving variable data and carbon efficiency optimization strategy driving variable data based on the judgment results;

[0024] Step 2: The comprehensive situation presentation data processing and function driving module drives the carbon efficiency situation analysis module to judge, analyze and present the comprehensive carbon efficiency level of the power production system from this year to date, drives the carbon efficiency trend prediction module to predict, analyze and present the future trend of carbon efficiency of the power production system, and drives the carbon efficiency optimization suggestion module to formulate optimization suggestions for different carbon efficiency levels and carbon emission index spaces to assist carbon efficiency optimization decision-making;

[0025] Step 3. The intelligent automated data processing and function driving module identifies the default prefabrication trigger conditions for the carbon efficiency level data, the capacity carbon index matching data, and the judgment results of the monthly cumulative comprehensive carbon efficiency level within the judgment period T, and drives the carbon efficiency primary optimization module, the carbon efficiency intermediate optimization module, and the carbon efficiency advanced optimization module respectively to perform the corresponding default prefabrication optimization mode operations within the next judgment period;

[0026] Step 4. The carbon emission intelligent analysis and control integrated communication module receives the monitoring data collected by the power generation system operation status supervision module, and initiates the carbon efficiency optimization strategy based on the current judgment result of the carbon emission intelligent analysis and control system on the power system. It communicates with the power production system operation status control module and initiates relevant instructions to drive the power production automation control system to execute the corresponding power production regulation strategy.

[0027] Preferably, a deep neural network and a shallow machine learning model prediction model method are used in the carbon efficiency trend prediction module.

[0028] Preferably, the monthly carbon efficiency index calculation formula of the power company in S7 is:

[0029]

[0030] Where: k is the adjustment coefficient, the default value of k is 1; COUTM n CCONM is a monthly carbon emission statistics company. n Monthly statistics on carbon fuel usage for power companies.

[0031] Preferably, step two and step three are performed simultaneously.

[0032] Therefore, the present invention adopts the above-mentioned power system carbon efficiency and carbon index spatial quantitative analysis and processing system and method, and performs segmented evaluation on the level of overall carbon efficiency in the power production process by intelligently and automatically judging the different stages of achievement of the overall carbon emission index. While efficiently and securely storing historical judgment data, the carbon efficiency analysis and prediction results of the power production system are displayed to enterprise managers in real time, and when abnormalities in the carbon efficiency level are found, the carbon efficiency optimization plan is automatically started to achieve comprehensive management and control of carbon emissions and automated optimization control for power production enterprises. The comprehensive management and control of carbon emissions and the automated carbon emission control and optimization level of power production enterprises are improved.

[0033] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the overall architecture of the carbon efficiency and carbon index space quantitative analysis and processing system of the power system of the present invention;

[0035] Figure 2 Schematic diagram of module functions for initialization mode and configuration settings;

[0036] Figure 3 This is a functional diagram of the system carbon emission situation judgment and response decision module;

[0037] Figure 4It is a functional diagram of the comprehensive situation presentation module;

[0038] Figure 5 This is a flowchart of the comprehensive carbon efficiency rating assessment algorithm for the year to date;

[0039] Figure 6 A schematic diagram of the algorithm flow of the evaluation result fusion generation module;

[0040] Figure 7 This is a functional diagram of the carbon efficiency trend prediction module;

[0041] Figure 8 A functional diagram of the proposed modules for carbon efficiency optimization;

[0042] Fig. 9 This is a functional diagram of the intelligent automatic optimization module. DETAILED DESCRIPTION

[0043] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0044] Unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0045] Example

[0046] See also Figure 1-9 The present invention provides a spatial quantitative analysis and processing system for carbon efficiency and carbon index of a power system, including a comprehensive collection module for carbon emission status information of a power generation system, a carbon emission intelligent analysis and control system, and a carbon emission quantitative analysis data storage system for a power generation system.

[0047] The power generation system carbon emission status information comprehensive collection module is used to communicate with the power production system operation status supervision module deployed on the power production system cluster side according to the system settings. The power system carbon emission information collection module is mainly used to collect basic analysis data such as the monthly statistics of "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel consumption of power companies. The specific data types can be customized according to user needs.

[0048] The monthly statistics of "Carbon emissions (tons of carbon dioxide equivalent)" for power companies are:

[0049] COUTM n

[0050] The unit is: ton.

[0051] The monthly statistical carbon fuel usage of power companies is:

[0052] CCONM n

[0053] The unit is: ton.

[0054] The carbon emission intelligent analysis and control system includes a system carbon emission situation judgment and response decision module, a comprehensive situation presentation module, an intelligent automatic optimization module and a carbon emission intelligent analysis and control comprehensive communication module.

[0055] The system carbon emission situation judgment and response decision module is used to automatically judge and respond to the daily carbon efficiency level of the power production system and the carbon index matching level of the power production system based on the data collected by the system power generation system carbon emission status information comprehensive collection module. According to the judgment results, the situation presentation driving variable data, carbon efficiency optimization strategy driving variable data, etc. are generated, such as Figure 3 shown.

[0056] The function of the power production system carbon efficiency analysis module is to calculate the monthly carbon efficiency index of the power production system based on the monthly statistics of the power company's "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel consumption. And according to the preset carbon efficiency level threshold, the carbon efficiency level of the power production system is determined.

[0057] The output values ​​of the power production system carbon efficiency analysis module are the values ​​of the following carbon efficiency level variables:

[0058] CEFM0

[0059] The monthly carbon efficiency index calculation formula of the power company in the present invention is:

[0060]

[0061] Where 0≤CEFM t≤1. The coefficient k is the adjustment coefficient. The default value of k is 1. It can be set according to the actual situation of the target system and the user's business scenario.

[0062] The carbon efficiency level of the power production system is divided into three levels: carbon efficiency-primary, carbon efficiency-intermediate, and carbon efficiency-advanced.

[0063] The carbon efficiency thresholds are set as preset default values ​​and can also be upgraded to automatically generated thresholds based on customer needs.

[0064] In the present invention, the default carbon efficiency-advanced threshold is:

[0065] CEFM H =0.33

[0066] In the present invention, the default preset carbon efficiency-intermediate threshold is:

[0067] CEFM L =0.66

[0068] (1) When CEFM t ≥CEFM H When the carbon efficiency level of the power production system is carbon efficiency index level 1-good, the module output value is:

[0069] CEFM0=1

[0070] (2) When CEFM L ≤CEFM t <CEFM H When the carbon efficiency level of the power production system is carbon efficiency index level 2-general, the module output value is:

[0071] CEFM0=2

[0072] (3) When 0≤CEFM t <CEFM L When the carbon efficiency level of the power production system is carbon efficiency index level 3-poor, the module output value is:

[0073] CEFM0=3

[0074] The main function of the power output and dual carbon indicators matching analysis module is to judge the spatial surplus of the annual carbon emission indicators of the power production system based on the annual carbon emission indicators formulated by the competent authorities of the power enterprises and the actual carbon emission levels of production.

[0075] The government sets annual carbon emission targets for power companies:

[0076] COUTY T

[0077] Meaning: Annual carbon dioxide emissions indicator, unit: tons. If there is no need to evaluate the power production system in this dimension, this indicator is assumed to be infinite and will naturally become invalid.

[0078] Output value variable:

[0079] COUTE0

[0080] Spatial assessment of carbon emission indicators:

[0081] (1) Carbon emission space level 1 - The criteria for judging the level of sufficient carbon emission space are:

[0082]

[0083] The output value of the power output and dual carbon index matching analysis module is:

[0084] COUTE0=1

[0085] (2) Carbon emission space level 2 - The general level judgment criteria for carbon emission space are:

[0086]

[0087] Output value:

[0088] COUTE0=2

[0089] (3) Carbon emission space level 3 - The level of carbon emission space shortage is judged by:

[0090]

[0091] Output value:

[0092] COUTE0=3

[0093] The comprehensive situation presentation module includes the comprehensive situation presentation data processing and function driving module, the carbon efficiency situation analysis module, the carbon efficiency trend prediction module and the carbon efficiency optimization suggestion module. Figure 4 shown.

[0094] The function of the comprehensive situation presentation data processing and function driving module is to obtain the parsed carbon efficiency level data and production capacity carbon index matching data based on the situation presentation driving variable data acquisition module, and drive the carbon efficiency situation analysis module, carbon efficiency trend prediction module, and carbon efficiency optimization suggestion module respectively to perform corresponding operations.

[0095] The carbon efficiency situation analysis module is responsible for judging, analyzing, and presenting the "comprehensive carbon efficiency level year-to-date" of the power production system based on the judgment results of the system carbon emission situation judgment and response decision module regarding the daily carbon efficiency level of the power production system and the matching level of the carbon index of power production capacity.

[0096] Calculation method and judgment rules for the comprehensive carbon efficiency level year-to-date:

[0097] (1) The monthly cumulative comprehensive carbon efficiency level 1 year-to-date in this year: Excellent

[0098] Corresponding judgment range:

[0099] The carbon emission space level reaches level 1, and the carbon efficiency index level reaches level 1

[0100] Explanation of the level mode:

[0101] CEFM0 = 1

[0102] COUTE0 = 1

[0103] (2) The monthly cumulative comprehensive carbon efficiency level 2 year-to-date in this year: Good

[0104] Corresponding judgment range:

[0105] The carbon emission space level reaches level 1, and the carbon efficiency index level reaches level 2

[0106] Or the carbon emission space level reaches level 2, and the carbon efficiency index level reaches level 1. Explanation of the level mode:

[0107] COUTE0 = 1 and CEFM0 = 2

[0108] Or

[0109] COUTE0 = 2 and CEFM0 = 1

[0110] (3) The monthly cumulative comprehensive carbon efficiency level 3 year-to-date in this year: Average

[0111] Corresponding judgment range:

[0112] The carbon emission space level reaches level 1, and the carbon efficiency index level reaches level 3:

[0113] COUTE0 = 1 and CEFM0 = 3

[0114] The carbon emission space level reaches level 2, and the carbon efficiency index level reaches level 2:

[0115] COUTE0 = 2 and CEFM0 = 2

[0116] The carbon emission space level reaches level 3, and the carbon efficiency index level reaches level 1:

[0117] COUTE0=3 and CEFM0=1

[0118] (4) Monthly cumulative comprehensive carbon efficiency level so far this year 4: Poor

[0119] Corresponding judgment range:

[0120] The carbon emission space level reaches level 3, and the carbon efficiency index level reaches level 2:

[0121] COUTE0=3 and CEFM0=2

[0122] The carbon emission space level reaches level 2, and the carbon efficiency index level reaches level 3:

[0123] COUTE0=2 and CEFM0=3

[0124] The carbon emission space level reaches level 3, and the carbon efficiency index level reaches level 3:

[0125] COUTE0=3 and CEFM0=3

[0126] The flow chart of the comprehensive carbon efficiency rating assessment algorithm for this year is as follows: Figure 5 shown.

[0127] The carbon efficiency prediction module is used to call prediction model algorithms such as deep neural networks and shallow machine learning models to predict, analyze and display the future trend of carbon efficiency of power production systems, and finally present the prediction results to power enterprise management decision makers. Figure 8 shown.

[0128] When the power system carbon efficiency situation prediction function is activated, the time range, data volume and format of the historical data storage used for model training must be confirmed first. Then the target time series prediction range must be selected. Through the "prediction mode configuration module", according to the data mounting configuration and prediction target configuration, the framework model matching the prediction target is called from the "prefabricated framework model library", and the appropriate feature extraction algorithm is called from the "prefabricated algorithm library".

[0129] Finally, the "model training and prediction module" completes the prediction framework model, carbon efficiency data feature extraction algorithm, data storage mounting and linking, and executes model training and prediction. The "prediction result display" module displays the power system carbon efficiency prediction results to power enterprise decision-makers in the form that users actually need.

[0130] The function of the carbon efficiency optimization suggestion module is to assist carbon efficiency optimization decision-making by formulating optimization suggestions for different carbon efficiency levels and carbon emission index spaces in advance based on the actual production scenarios and conditions of power production enterprises.

[0131] The carbon efficiency optimization suggestion module is driven, and the carbon efficiency optimization suggestion generation starts to actively obtain the "carbon emission space level" and "carbon efficiency index level" generated by the power production system generated by the "system carbon emission situation judgment and response decision module", and comprehensively judge the power production deployment adjustment strategy that should be adopted by the existing power production system based on the two data indicators, and output the triggering conditions of the prefabricated suggestions. Prefabricated suggestions are auxiliary decision-making suggestions for standardized carbon efficiency improvement and carbon emission index space optimization that are pre-formulated according to the actual needs of customers.

[0132] The function of the intelligent automatic optimization module is to determine the current carbon efficiency level and carbon emission index space of the power production system based on the judgment results of the system carbon emission situation judgment and response decision module on the daily carbon efficiency level of the power production system and the matching level of the power production capacity carbon index. It determines what optimization strategy should be adopted for the power production system to optimize and improve to which level, such as Fig. 9 shown.

[0133] The function of the intelligent automatic data processing and function driving module is to obtain the carbon efficiency level data and capacity carbon index matching data analyzed by the comprehensive "situation presentation driving variable data acquisition module" within the judgment period T, as well as the judgment results of the monthly cumulative comprehensive carbon efficiency level of the year so far by the "carbon efficiency situation analysis module". Identify the default prefabricated trigger conditions, and drive the "carbon efficiency primary optimization module", "carbon efficiency intermediate optimization module", and "carbon efficiency advanced optimization module" respectively to perform the corresponding default prefabricated optimization mode operations in the next judgment period.

[0134] The triggering conditions of different levels of optimization modes and the contents of different levels of optimization modes mainly need to be formulated and configured by power system users according to the actual power production situation. The system supports customized development and secondary development. At the same time, the system has default configuration options that can be configured and started according to user needs.

[0135] The default pre-made trigger conditions of the Carbon Efficiency Primary Optimization Module are:

[0136] The monthly cumulative comprehensive carbon efficiency level for the year to date is 1 or the monthly cumulative comprehensive carbon efficiency level for the year to date is 2.

[0137] The default pre-made optimization mode of the carbon efficiency primary optimization module is:

[0138] Determine whether to maintain the original power production mode within the next judgment cycle T.

[0139] The default pre-made trigger conditions of the Carbon Efficiency Intermediate Optimization Module are:

[0140] The monthly cumulative comprehensive carbon efficiency level so far this year is 3.

[0141] The default pre-made optimization mode of the Carbon Efficiency Intermediate Optimization Module is:

[0142] During the judgment period T+1, some units will switch to higher quality fuels and initiate greenhouse gas emission reduction measures to improve calorific value, ensure power production efficiency and reduce carbon-containing greenhouse gas emissions.

[0143] The default pre-made trigger conditions of the Carbon Efficiency Advanced Optimization Module are:

[0144] The monthly cumulative comprehensive carbon efficiency level so far this year is 4.

[0145] The default pre-made optimization modes of the Carbon Efficiency Advanced Optimization Module are:

[0146] During the judgment period T+1, some units will switch to higher quality fuels and initiate greenhouse gas emission reduction measures. At the same time, generating units with different environmental performance will be grouped and operated in an orderly manner to regulate the operating rhythm and inhibit excessive emissions of carbon-containing greenhouse gases.

[0147] The function of the integrated communication module for intelligent carbon emission analysis and control is, on the one hand, to receive the monitoring data on the current carbon efficiency level of the power system and the matching level of the carbon index of power production capacity collected by the power generation system operation status supervision module located on the power production system cluster side; on the other hand, based on the carbon efficiency optimization strategy initiated by the judgment result of the carbon emission intelligent analysis and control system on the current carbon efficiency level of the power system and the matching level of the carbon index of power production capacity, it communicates with the power production system operation status control module deployed on the power production system cluster side, and initiates relevant instructions to drive the power production automation control system to execute the corresponding power production regulation strategy.

[0148] The function of the power generation system carbon emission quantitative analysis data storage system is to store the daily statistical carbon emissions (tons of carbon dioxide equivalent) and carbon fuel usage of the power enterprises collected by the power generation system carbon emission status information comprehensive collection module, and the power system daily carbon efficiency level and production capacity carbon index matching level generated by the "system carbon emission situation judgment and response decision module" of the carbon emission intelligent analysis and control system in real time and efficiently according to the system settings.

[0149] Step S1: To perform "pre-operation", it is necessary to ensure that the power production system cluster, which is the main monitoring and control object, can operate normally. And ensure that the power production system operation status supervision module used for monitoring data transmission on the user side can effectively obtain the daily statistical "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel usage and other system data of the power company. At the same time, it is necessary to ensure that the power production system operation status control module and the carbon emission intelligent analysis and control integrated communication module can communicate normally and receive instructions to be executed.

[0150] Step S2: Initialize the carbon efficiency optimization level configuration module to start, determine the carbon efficiency of the power production system and the carbon index space quantitative analysis and process the carbon efficiency mode and carbon index space of the system, and initialize the settings. The functional diagram of the initialization carbon efficiency optimization level configuration module is as follows: Figure 2 shown.

[0151] Step S3: On the power production system cluster side, the power production system operation status supervision module mounts the data source to monitor the collected daily statistical "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel usage and other carbon efficiency basic data of the power companies. And screen the power production systems that the system determines need to conduct timely carbon emission regulation. Power production systems whose carbon emissions exceed the monitoring threshold too early are promptly identified, and the potential carbon emission space of power production systems whose carbon emissions do not reach the threshold is presented to managers. So that managers of power production systems or clusters can make timely decisions or adjustments on power production;

[0152] The power production system operation status control module confirms that it can effectively receive instructions, and drives the decision-making of the system carbon efficiency and carbon emission index space based on the monitoring results collected by the power production system operation status supervision module, so as to ensure that the carbon efficiency and carbon emission levels of the power generation system or cluster are within the compliance range.

[0153] Step S4: The power generation system carbon emission status information comprehensive collection module collects basic analysis data such as the monthly statistical "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel consumption of the power company.

[0154] Step S5: The system carbon emission situation judgment and response decision module, based on the data collected by the system power generation system carbon emission status information comprehensive collection module, the power production system carbon efficiency analysis module calculates the monthly carbon efficiency index of the power production system based on the monthly statistics of the power company "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel consumption, and judges the carbon efficiency level of the power production system according to the preset carbon efficiency level threshold. The power output and dual carbon index matching analysis module judges the space remaining situation of the annual carbon emission index of the power production system according to the annual carbon emission index formulated by the competent authority of the power company and the actual carbon emission level of production. According to the judgment results, the situation presentation driving variable data, carbon efficiency optimization strategy driving variable data, etc. are generated.

[0155] Step S6: The comprehensive situation presentation module performs carbon efficiency situation analysis on the power production system, predicts the carbon efficiency trend of the power production system, and automatically generates and feedbacks carbon efficiency optimization suggestions for the power system based on the “situation presentation driving variable data” generated by the system carbon efficiency situation judgment and response decision module;

[0156] The comprehensive situation presentation data processing and function driving module obtains the parsed carbon efficiency level data and production capacity carbon index matching data based on the "situation presentation driving variable data acquisition module", and drives the "carbon efficiency situation analysis" module, "carbon efficiency trend prediction" module, and "carbon efficiency optimization suggestion" module to perform corresponding operations;

[0157] The carbon efficiency situation analysis module judges, analyzes and presents the “comprehensive carbon efficiency level so far this year” of the power production system based on the judgment results of the system carbon emission situation judgment and response decision module on the daily carbon efficiency level of the power production system and the matching level of the carbon index of the power production capacity;

[0158] The carbon efficiency trend prediction module uses prediction model algorithms such as deep neural networks and shallow machine learning models to predict, analyze and display the future trend of carbon efficiency of power production systems, and finally present the prediction results to power enterprise management decision makers, such as Figure 7 As shown;

[0159] The carbon efficiency optimization suggestion module pre-formulates optimization suggestions for different carbon efficiency levels and carbon emission index spaces based on the actual production scenarios and conditions of power production enterprises to assist in carbon efficiency optimization decision-making.

[0160] Step S7: The intelligent automatic optimization module, based on the judgment result of the system carbon emission situation judgment and response decision module on the daily carbon efficiency level of the power production system and the matching level of the power production capacity carbon index, determines what optimization strategy should be adopted for the current carbon efficiency level and carbon emission index space of the power production system to optimize and improve to which level;

[0161] The intelligent automatic data processing and function driving module obtains the carbon efficiency grade data and capacity carbon index matching data analyzed by the comprehensive "situation presentation driving variable data acquisition module" within the judgment period T, as well as the judgment results of the monthly cumulative comprehensive carbon efficiency grade of the year to date by the "carbon efficiency situation analysis module". Identify the default prefabricated trigger conditions and drive the "carbon efficiency primary optimization module", "carbon efficiency intermediate optimization module" and "carbon efficiency advanced optimization module" respectively to perform the corresponding default prefabricated optimization mode operations in the next judgment period.

[0162] Step S8: The carbon emission intelligent analysis and control integrated communication module receives the monitoring data of the current carbon efficiency level of the power system and the matching level of the carbon index of the power production capacity collected by the power generation system operation status supervision module; the carbon efficiency optimization strategy initiated according to the judgment result of the carbon emission intelligent analysis and control system on the current carbon efficiency level of the power system and the matching level of the carbon index of the power production capacity communicates with the power production system operation status control module, and initiates relevant instructions to drive the power production automation control system to execute the corresponding power production regulation strategy.

[0163] Step S9: The power generation system carbon emission quantitative analysis data storage system, according to the system settings, stores in real time and efficiently the daily statistical "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel usage of the power company collected by the comprehensive collection module of the carbon emission status information of the power generation system, and the daily carbon efficiency level of the power system and the production capacity carbon index matching level generated by the system carbon emission situation judgment and response decision module of the carbon emission intelligent analysis and control system.

[0164] Therefore, the present invention adopts the above-mentioned power system carbon efficiency and carbon index space quantitative analysis processing system and method, calculates the carbon efficiency index according to the "carbon emissions (tons of carbon dioxide equivalent)" and the carbon fuel usage, and quantitatively analyzes the carbon efficiency level of the power production system, which can more accurately describe and highlight the characteristics and features of the carbon efficiency level of the power production system; by performing automated and intelligent comprehensive quantitative analysis on the carbon efficiency and carbon index space of the power production system, and launching different response plans and strategies for different comprehensive carbon efficiency levels, so as to support and ensure that the power production efficiency meets the standards under the restriction of achieving carbon emission indicators, improve the automation and intelligence level of power production enterprises in carbon efficiency level identification and response, and achieve quality and efficiency improvement of power production; based on the monthly statistical "carbon emissions (tons of carbon dioxide equivalent)" and carbon fuel usage of the power enterprise, calculate the monthly carbon efficiency index of the power production system, and judge the carbon efficiency level of the production system in the store according to the preset carbon efficiency level threshold, quantitative statistics and analysis, intelligent and automatic control of the carbon efficiency optimization mode of each subsystem in the power production system cluster, and automatically switch between the three carbon efficiency optimization modes. Switching makes it have a more extensive, flexible and general ability to identify the risk of excessive carbon efficiency in the power system and respond to the risk of excessive carbon emission indicators; the power production system carbon efficiency and carbon indicator space quantitative analysis and processing system supports open and customized access and configuration, supports customized development and configuration, and supports secondary development, achieving a balance and consideration between the integrated capability of carbon efficiency supervision and regulation of the power production system and the active prevention capability of carbon emission indicator space overdraft in the business scenario of the power production enterprise; the power production system carbon efficiency and carbon indicator space quantitative analysis and processing system adopts an independent deployment method independent of the main body of the power production system cluster unified supervision and control system, and sends instructions to drive the conversion of the carbon efficiency mode of the power production system by communicating with the power production system operation status control module, so as to ensure that the power production system achieves dual carbon indicators while minimizing the impact on the performance of the unified supervision and control system of the power production system cluster; through the automatic dynamic carbon efficiency optimization mechanism, the power system carbon efficiency optimization mode can be realized as the carbon efficiency level and dual carbon indicator policy space faced by the system change, so as to achieve real-time refined and adaptive carbon efficiency regulation. It makes up for the problems of lag, inefficiency and incompleteness of human supervision of power production system clusters.

[0165] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. The power system carbon efficiency and carbon index spatial quantitative analysis and processing system is characterized by: It includes a comprehensive collection module for carbon emission status information of the power generation system, which communicates with the power production system operation status supervision module to collect basic analysis data of monthly statistical carbon emissions and carbon fuel usage of power companies; The carbon emission intelligent analysis and control system automatically generates the carbon efficiency level judgment threshold and the capacity carbon index matching level threshold parameters based on the collected information, automatically judges the power generation system and comprehensively presents the change situation, and automatically starts the corresponding level of carbon efficiency optimization response strategy; The carbon emission quantitative analysis and data storage system for power generation systems can store the collected daily statistical carbon emissions and carbon fuel usage of power companies, the daily carbon efficiency level of the power system and the matching level data of production capacity carbon indicators in real time and efficiently.

2. The power system carbon efficiency and carbon index spatial quantitative analysis and processing system according to claim 1, characterized in that: The carbon emission intelligent analysis and control system includes a system carbon emission situation judgment and response decision module, which automatically judges and makes decisions on the daily carbon efficiency level of the power production system and the matching level of the carbon index of the power production capacity; The comprehensive situation presentation module drives the carbon efficiency situation analysis module, the carbon efficiency trend prediction module, and the carbon efficiency optimization suggestion module to perform corresponding operations; Intelligent automatic optimization module, based on the judgment results of the system carbon emission situation judgment and response decision module, optimizes the carbon efficiency level and carbon emission index space of the power production system; The carbon emission intelligent analysis and control integrated communication module communicates with the power production system operation status control module and drives the power production automation control system to execute the corresponding power production regulation strategy.

3. The power system carbon efficiency and carbon index spatial quantitative analysis and processing system according to claim 2, characterized in that: The system carbon emission situation judgment and response decision-making module includes the power production system carbon efficiency analysis module and the power output and dual carbon index matching analysis module.

4. The power system carbon efficiency and carbon index spatial quantitative analysis and processing system according to claim 3 is characterized by: The comprehensive situation presentation module includes a comprehensive situation presentation data processing and function driving module, a carbon efficiency situation analysis module, a carbon efficiency trend prediction module and a carbon efficiency optimization suggestion module.

5. A method for applying the power system carbon efficiency and carbon index spatial quantitative analysis and processing system according to any one of claims 1 to 4, characterized in that: The following steps are involved: S1. Pre-operation, ensuring that the power production system cluster can operate normally, and ensuring that the power production system operation status control module and the carbon emission intelligent analysis and control integrated communication module can communicate normally; S2. Start the initialization carbon efficiency optimization level configuration module to perform initialization settings on the carbon efficiency and carbon index space quantitative analysis of the power production system and the carbon efficiency model and carbon index space of the processing system; S3. On the power production system cluster side, the power production system operation status supervision module mounts the data source, and the power production system operation status control module confirms that it can effectively receive instructions; S4. Deploy the carbon efficiency and carbon index spatial quantitative analysis and processing system of the power production system on a single server; S5. The power generation system carbon emission status information comprehensive collection module communicates with the power production system operation status supervision module deployed on the power production system cluster side to collect basic analysis data such as the monthly statistical carbon emissions and carbon fuel usage of the power company; S6. The carbon emission intelligent analysis and control system automatically generates parameters such as the carbon efficiency level judgment threshold and the capacity carbon index matching level threshold based on the information collected by the comprehensive collection module, performs automatic judgment and comprehensive presentation of the changing situation, and automatically starts the corresponding level of carbon efficiency optimization response strategy; S7. The carbon emission quantitative analysis and data storage system for the power generation system, according to the system settings, stores in real time and efficiently the daily statistical carbon emissions and carbon fuel usage of the power companies collected by the comprehensive collection module of the carbon emission status information of the power generation system, and the daily carbon efficiency level of the power system and the production capacity carbon index matching level generated by the system carbon emission situation judgment and response decision module of the carbon emission intelligent analysis and control system.

6. The method of the power system carbon efficiency and carbon index space quantitative analysis and processing system according to claim 5, characterized in that: S6 includes the following steps: Step 1: The system carbon emission situation judgment and response decision module automatically judges and responds to the daily carbon efficiency level of the power production system and the carbon index matching level of the power production capacity based on the data collected by the comprehensive collection module of the carbon emission status information of the power generation system, and generates situation presentation driving variable data and carbon efficiency optimization strategy driving variable data based on the judgment results; Step 2: The comprehensive situation presentation data processing and function driving module drives the carbon efficiency situation analysis module to judge, analyze and present the comprehensive carbon efficiency level of the power production system from this year to date, drives the carbon efficiency trend prediction module to predict, analyze and present the future trend of carbon efficiency of the power production system, and drives the carbon efficiency optimization suggestion module to formulate optimization suggestions for different carbon efficiency levels and carbon emission index spaces to assist carbon efficiency optimization decision-making; Step 3. The intelligent automated data processing and function driving module identifies the default prefabrication trigger conditions for the carbon efficiency level data, the capacity carbon index matching data, and the judgment results of the monthly cumulative comprehensive carbon efficiency level within the judgment period T, and drives the carbon efficiency primary optimization module, the carbon efficiency intermediate optimization module, and the carbon efficiency advanced optimization module respectively to perform the corresponding default prefabrication optimization mode operations within the next judgment period; Step 4. The carbon emission intelligent analysis and control integrated communication module receives the monitoring data collected by the power generation system operation status supervision module, and initiates the carbon efficiency optimization strategy based on the current judgment result of the carbon emission intelligent analysis and control system on the power system. It communicates with the power production system operation status control module and initiates relevant instructions to drive the power production automation control system to execute the corresponding power production regulation strategy.

7. The method of the power system carbon efficiency and carbon index space quantitative analysis and processing system according to claim 5, characterized in that: The carbon efficiency trend prediction module uses deep neural network and shallow machine learning model prediction model methods.

8. The method of the power system carbon efficiency and carbon index space quantitative analysis and processing system according to claim 5, characterized in that: The monthly carbon efficiency index calculation formula of power companies in S7 is: Where: k is the adjustment coefficient, the default value of k is 1; COUTM n CCONM is a monthly carbon emission statistics company. n Monthly statistics on carbon fuel usage for power companies.

9. The method of the power system carbon efficiency and carbon index space quantitative analysis and processing system according to claim 5, characterized in that: Step 2 and step 3 are performed simultaneously.

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