An intelligent power energy scheduling system

Abstract

The application provides an intelligent power energy scheduling system, and relates to the technical field of new energy sources.The system comprises an acquisition module, a sorting module and a scheduling module.The acquisition module is used for collecting basic information, real-time production data and supply and sales data of multiple power producers, and performing real-time monitoring on the production data and supply and sales data to obtain monitoring data.The sorting module is used for performing comprehensive priority sorting on the monitoring data based on preset local power scheduling rules, scheduling policies and selling prices to obtain a supplier priority list.The scheduling module is used for identifying and scheduling idle production capacity of traditional power generation enterprises and abandoned wind and light resources of new energy sources based on the supplier priority list to obtain a scheduling result.The application improves the power resource allocation efficiency and the low-carbon transformation adaptability.

Description

Technical Field

[0001] This invention relates to the field of new energy technology, and in particular to an intelligent power energy dispatching system. Background Technology

[0002] The current demand for electricity is showing a trend of rapid growth and structural adjustment. The total electricity consumption of the whole society is expected to continue to grow significantly. The installed capacity of new energy power generation will reach a high level. Electricity consumption in new fields such as 5G base stations and data centers is surging. The growth rate of electricity consumption in East China and South China is leading. However, the problems of large fluctuations in new energy power generation, insufficient energy storage facilities, and limited cross-regional power transmission capacity are becoming increasingly prominent.

[0003] Taking a certain industrial city as an example, its installed capacity of new energy (wind power and photovoltaic) is already at a high level. However, the existing power dispatch system can only realize the basic grid connection and allocation of traditional energy and new energy. It does not integrate the power generation, voltage stability, energy storage capacity and cross-regional transmission capacity data of various producers. Moreover, it lacks a dedicated design for green electricity consumption paths, which leads to the failure to timely utilize idle capacity of traditional coal-fired power during peak hours. The phenomenon of wind and solar power curtailment is quite prominent. At the same time, there are power supply gaps in some areas. There is no clear certification and traceability mechanism for green electricity consumption. Green certificates cannot be linked with the carbon trading market, resulting in inefficient resource allocation. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent power energy dispatching system that improves the efficiency of power resource allocation and adaptability to low-carbon transformation.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: In a first aspect, a smart power dispatching system, comprising: The acquisition module is used to collect basic information, real-time production data, and supply and sales data from multiple power producers, and to monitor the production data and supply and sales data in real time to obtain monitoring data. The sorting module is used to perform comprehensive priority sorting based on monitoring data, preset local power dispatching rules, dispatching policies and bid prices, to obtain a supplier priority list. The scheduling module is used to identify and schedule idle capacity of traditional power generation companies and wind and solar curtailment resources of new energy sources based on a supplier priority list, so as to obtain scheduling results. The consumption module is used to provide off-grid consumption paths for green power capacity based on scheduling results. Off-grid consumption paths include on-site off-grid consumption completed by the purchaser itself or by entrusting a third party to obtain the corresponding green certificate. Monitoring module: Used to monitor and display the self-generated and self-consumed electricity of power producers based on green electricity trading and off-grid consumption, to obtain transparent data on electricity production and consumption, and the transparent data includes details of electricity production and consumption corresponding to green certificates; Interface module: Based on the power production and consumption details corresponding to the green certificate, it calls the data of the associated carbon trading market through the API interface, links the obtained green certificate with the carbon trading market, and completes the green certificate reversal transaction.

[0006] Furthermore, basic information, real-time production data, and supply and sales data of multiple power producers are collected, and the production data and supply and sales data are monitored in real time to obtain monitoring data, including: Receive heterogeneous data streams uploaded by monitoring terminals deployed at various power producers; parse and standardize the heterogeneous data streams, and classify and store them into basic information of power producers, real-time production data and supply and sales data, so as to obtain classified and stored data; Based on the classified and stored data, the operating status and supply behavior of power producers are monitored in real time to obtain initial monitoring results; Based on the initial monitoring results, the monitoring results are verified and integrated through preset stability criteria and data quality rules to obtain monitoring data.

[0007] Furthermore, based on the monitored data, a supplier priority list is obtained by comprehensively prioritizing suppliers according to preset local power dispatching rules, dispatching policies, and bid prices, including: From the monitoring data, key parameters related to scheduling decisions are extracted, including real-time power generation, voltage stability, pricing information, and energy type. Based on key parameters related to dispatching decisions, and through preset local power dispatching rules and policies, compliant supplier screening conditions are constructed, and multi-dimensional comprehensive evaluation rules are defined based on bid prices and key parameters. The selected suppliers are comprehensively evaluated using multi-dimensional criteria to obtain a comprehensive score result. Suppliers are ranked based on the comprehensive scoring results to obtain a supplier priority list.

[0008] Furthermore, based on key parameters related to dispatching decisions, and through pre-defined local power dispatching rules and policies, compliant supplier screening criteria are constructed. Based on bid prices and key parameters, multi-dimensional comprehensive evaluation rules are defined, including: Obtain key parameters and preset local power dispatch rules and policies; obtain compliance judgment conditions through local power dispatch rules and policies; and construct compliant supplier screening conditions based on the judgment conditions. Based on the key parameters of the quoted price and the selection criteria for compliant suppliers, the weight coefficients and calculation rules of each evaluation dimension are set to define a multi-dimensional comprehensive evaluation rule; By linking the compliant supplier screening criteria with multi-dimensional comprehensive evaluation rules, a unified supplier evaluation and screening mechanism is formed.

[0009] Furthermore, based on the supplier priority list, idle capacity of traditional power generation enterprises and curtailed wind and solar resources of new energy sources are identified and scheduled to obtain scheduling results, including: By using the supplier priority list, idle capacity marked as traditional power generation enterprises and curtailed wind and solar resources of new energy are identified, and a special set of resources to be dispatched is obtained. Based on the preset scheduling strategy, priority evaluation and scheduling order configuration are performed on each resource in the special resource set to be scheduled, so as to obtain the scheduling order configuration result; Based on the scheduling order configuration results, the specific resource objects, scheduling time, and scheduling quantity are obtained.

[0010] Furthermore, based on the dispatch results, off-grid consumption paths are provided for green power capacity. These off-grid consumption paths include those designated by the purchaser or entrusted to a third party to complete local off-grid consumption in order to obtain corresponding green certificates, including: The scheduling resources belonging to green power capacity are extracted from the scheduling results to obtain a green power scheduling subset; The system receives the consumption path selected by the purchaser for a subset of green electricity dispatch, wherein the consumption path includes either self-designated consumption points or entrusting a third party to complete local consumption. Based on the selected consumption path, the corresponding energy transmission channels and metering monitoring points are configured to obtain the off-grid consumption implementation plan; Based on the execution data of the off-grid power consumption implementation plan, green certificates corresponding to the consumed electricity are obtained.

[0011] Furthermore, based on green electricity trading and off-grid consumption, data monitoring and display are conducted on the self-consumption portion of electricity generated by power producers, resulting in transparent data on electricity production and consumption. This transparent data includes details of electricity production and consumption corresponding to green certificates, including: Obtain the self-generated and self-consumed power data in the off-grid consumption implementation plan, and extract the corresponding power production details from the monitoring data; The self-generated and self-consumed electricity data and electricity production details are classified and integrated to obtain a complete data set including grid-connected consumption and off-grid consumption. By establishing a correlation between the complete dataset and the corresponding green certificate information, traceable data containing details of power production and consumption corresponding to the green certificates is obtained. The traceable data is then visualized to obtain transparent data for display.

[0012] Furthermore, based on the electricity production and consumption details corresponding to the green certificates, data from the associated carbon trading market is called through the API interface to link the obtained green certificates with the carbon trading market, completing the green certificate reversal transaction, including: Obtain the power production and consumption details corresponding to the green certificates contained in the transparent data, obtain the green certificate associated data package, and call the real-time data of the associated carbon trading market through the API interface to obtain the current carbon quota price and trading rule information; Based on the green certificate associated data package and real-time data from the carbon trading market, a positive offsetting relationship between green certificates and carbon quotas is established to obtain the positive offsetting trading configuration; Based on the reversal trading configuration, the market trading operations of green certificates and carbon quotas are automatically executed to complete the green certificate reversal trading process.

[0013] In a second aspect, a computing device includes: One or more processors; A storage device for storing one or more programs that, when executed by one or more processors, enable the one or more processors to implement the system.

[0014] Thirdly, a computer-readable storage medium storing a program that, when executed by a processor, implements the system.

[0015] The above-described solution of the present invention has at least the following beneficial effects: Because this invention employs methods such as deploying monitoring terminals to collect multi-source heterogeneous data, parsing, standardizing, verifying, and integrating it; combining local dispatching rules, policies, and bidding prices to construct compliance screening and multi-dimensional comprehensive evaluation rules to obtain a supplier priority list; accurately identifying and dispatching idle capacity of traditional power generation enterprises and curtailed wind and solar resources based on the supplier priority list; providing diversified off-grid consumption paths for green electricity and obtaining corresponding green certificates; integrating multiple types of data to achieve transparent management of power production and consumption; and establishing a correspondence between green certificates and carbon quotas through API interfaces to call carbon trading market data and complete the offsetting transaction, it overcomes the technical problems of insufficient multi-source data integration capabilities, single dispatching evaluation dimensions, difficulty in coordinating the utilization of idle capacity of traditional energy and curtailed wind and solar resources, lack of green electricity consumption paths and lack of certification and traceability, and poor linkage between green certificates and the carbon trading market in existing dispatching systems. It achieves improved efficiency in power resource allocation, increased renewable energy consumption rate, full release of green electricity value, traceability and supervision of power production and consumption data, accurate conversion of green electricity emission reduction benefits into carbon market value, and enhanced adaptability of the power system for low-carbon transformation. Attached Figure Description

[0016] Figure 1This is a schematic diagram of an intelligent power energy dispatching system provided by an embodiment of the present invention.

[0017] Figure 2 This is a flowchart illustrating an intelligent power energy dispatching system provided by an embodiment of the present invention. Detailed Implementation

[0018] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0019] like Figure 1 As shown, an embodiment of the present invention proposes an intelligent power energy dispatching system, the method comprising the following steps: The acquisition module is used to collect basic information, real-time production data, and supply and sales data from multiple power producers, and to monitor the production data and supply and sales data in real time to obtain monitoring data. The sorting module is used to perform comprehensive priority sorting based on monitoring data, preset local power dispatching rules, dispatching policies and bid prices, to obtain a supplier priority list. The scheduling module is used to identify and schedule idle capacity of traditional power generation companies and wind and solar curtailment resources of new energy sources based on a supplier priority list, so as to obtain scheduling results. The consumption module is used to provide off-grid consumption paths for green power capacity based on scheduling results. Off-grid consumption paths include on-site off-grid consumption completed by the purchaser itself or by entrusting a third party to obtain the corresponding green certificate. Monitoring module: Used to monitor and display the self-generated and self-consumed electricity of power producers based on green electricity trading and off-grid consumption, to obtain transparent data on electricity production and consumption, and the transparent data includes details of electricity production and consumption corresponding to green certificates; Interface module: Based on the power production and consumption details corresponding to the green certificate, it calls the data of the associated carbon trading market through the API interface, links the obtained green certificate with the carbon trading market, and completes the green certificate reversal transaction.

[0020] In this embodiment of the invention, because the acquisition module collects and monitors various types of data from power producers in real time, the sorting module combines local dispatching rules, policies, and bid prices for comprehensive priority ranking, the dispatching module accurately identifies and dispatches idle traditional energy capacity and curtailed wind and solar resources, the consumption module provides diversified off-grid consumption paths for green electricity and generates corresponding green certificates, the monitoring module realizes transparent management of power production and consumption data, and the interface module completes green certificate reversal transactions, API completes green certificate reversal transactions, and the interface links with the carbon trading market to complete green certificate reversal transactions, the invention overcomes the shortcomings of existing technologies, such as incomplete power data collection, single dispatching evaluation dimensions, difficulty in efficiently utilizing special power resources, lack of green electricity consumption paths and certification, insufficient data transparency, and poor linkage between green certificates and carbon trading. This achieves improved accuracy and scientific rigor in power dispatching decisions, optimized power resource allocation efficiency, increased new energy consumption rate, full release of green electricity value, traceable supervision of power production and consumption processes, deep integration of green electricity emission reduction benefits and carbon market value, and enhanced adaptability of the power system for low-carbon transformation.

[0021] In a preferred embodiment of the present invention, basic information, real-time production data, and supply and sales data of multiple power producers are collected, and the production data and supply and sales data are monitored in real time to obtain monitoring data. This includes: receiving heterogeneous data streams uploaded by monitoring terminals deployed at each power producer; parsing and standardizing the heterogeneous data streams, and classifying and storing them as basic information, real-time production data, and supply and sales data of the power producers to obtain classified and stored data; based on the classified and stored data, real-time monitoring of the operating status and supply behavior of the power producers is performed to obtain initial monitoring results; based on the initial monitoring results, the monitoring results are verified and integrated through preset stability criteria and data quality rules to obtain monitoring data.

[0022] In this embodiment of the invention, the heterogeneous data streams deployed at the monitoring terminals of various power producers are received, parsed, and standardized before being classified and stored as basic information of the power producers, real-time production data, and supply and sales data. Based on the classified and stored data, the operating status and supply behavior of the power producers are monitored in real time. The initial monitoring results are verified and integrated through preset stability criteria and data quality rules. Therefore, this invention effectively overcomes the technical problems in the prior art, such as the difficulty in unified collection and processing due to the heterogeneous data formats of power producers, the untimely monitoring of the operating status and supply behavior of power producers, and the unreliable quality of monitoring data due to the lack of effective verification. It realizes efficient integration and standardized management of multi-dimensional data of power producers, real-time dynamic control of operation and supply status, and ensures the accuracy and reliability of monitoring data. This provides a high-quality and reliable data foundation for carrying out core scheduling functions such as comprehensive priority ranking and curtailment resource scheduling.

[0023] In a preferred embodiment of the present invention, a supplier priority list is obtained by comprehensively prioritizing suppliers based on monitored data through preset local power dispatching rules, dispatching policies, and bid prices. This includes: extracting key parameters related to dispatching decisions from the monitored data, including real-time power generation, voltage stability, bid information, and energy type; constructing compliant supplier screening conditions based on the key parameters related to dispatching decisions through preset local power dispatching rules and policies, and defining multi-dimensional comprehensive evaluation rules based on bid prices and key parameters; calculating a comprehensive score for the selected suppliers using the multi-dimensional comprehensive evaluation rules to obtain a comprehensive score result; and ranking the suppliers based on the comprehensive score result to obtain a supplier priority list.

[0024] In this embodiment of the invention, key parameters related to dispatching decisions, such as real-time power generation, voltage stability, pricing information, and energy type, are extracted from monitoring data. Based on these key parameters and pre-set local power dispatching rules and policies, compliant supplier screening conditions are constructed. Multi-dimensional comprehensive evaluation rules are defined by combining bid prices and key parameters. Subsequently, compliant suppliers are comprehensively scored using these evaluation rules, and a supplier priority list is obtained by ranking the scores. Therefore, this invention effectively overcomes the technical problems in existing technologies where power dispatching supplier screening often overlooks local power dispatching rules and policies, resulting in insufficient compliance; relies on a single dimension to evaluate suppliers, lacking comprehensiveness; and the ranking results cannot match actual dispatching needs. This achieves compliance in supplier screening and comprehensiveness in evaluation. The comprehensive scoring results can accurately reflect the actual supply capacity and suitability of suppliers. The resulting supplier priority list can directly provide a scientific and reliable selection basis for power dispatching, improving the rationality and efficiency of power dispatching and ensuring that the dispatching process conforms to the actual local power operation requirements.

[0025] In a preferred embodiment of the present invention, based on key parameters related to dispatching decisions, compliant supplier screening conditions are constructed through preset local power dispatching rules and policies. Furthermore, based on the bid price and key parameters, multi-dimensional comprehensive evaluation rules are defined, including: obtaining key parameters and preset local power dispatching rules and policies; obtaining compliance judgment conditions through the local power dispatching rules and policies; constructing compliant supplier screening conditions based on the judgment conditions; setting weight coefficients and calculation rules for each evaluation dimension based on the bid price and key parameters for passing the compliant supplier screening conditions to define multi-dimensional comprehensive evaluation rules; and configuring the compliant supplier screening conditions and multi-dimensional comprehensive evaluation rules in a related manner to form a unified supplier evaluation and screening mechanism.

[0026] In this embodiment of the invention, a technical approach is adopted to obtain key parameters related to dispatching decisions and preset local power dispatching rules and policies. Compliance judgment conditions are obtained through these local power dispatching rules and policies, and compliant supplier screening conditions are constructed accordingly. Then, based on the bid price and key parameters for compliance screening, weight coefficients and calculation rules for each evaluation dimension are set to define a multi-dimensional comprehensive evaluation rule. The compliant supplier screening conditions and the multi-dimensional comprehensive evaluation rule are configured together to form a unified supplier evaluation and screening mechanism. Therefore, this overcomes the shortcomings of existing technologies where supplier screening is not closely aligned with local power dispatching rules and policies, leading to significant compliance risks, and where evaluation rules do not incorporate key parameters after compliance. The lack of quantitative standards for supplier selection and evaluation, coupled with the reliance on quotation prices, leads to subjective and biased assessments. Furthermore, the disconnect between the selection and evaluation processes and the lack of coordination result in inefficient procedures and outcomes that fail to meet actual dispatching needs. This new approach achieves policy compliance in supplier selection and comprehensive quantitative assessment. A unified mechanism ensures efficient connection and logical closure between the selection and evaluation processes, guaranteeing that evaluation results not only meet local power operation policy requirements but also accurately reflect the supplier's actual supply capacity and cost suitability. It provides a standardized and reliable operational framework for supplier comprehensive scoring and prioritization, further ensuring the scientific, compliant, and efficient nature of power dispatching decisions and helping to address practical issues such as renewable energy curtailment, idle traditional capacity, and regional power supply gaps.

[0027] In a preferred embodiment of the present invention, based on a supplier priority list, idle capacity of traditional power generation enterprises and curtailed wind and solar resources of new energy sources are identified and scheduled to obtain scheduling results. This includes: identifying idle capacity of traditional power generation enterprises and curtailed wind and solar resources of new energy sources marked as such through the supplier priority list to obtain a special resource set to be scheduled; prioritizing and configuring the scheduling order of each resource in the special resource set to be scheduled based on a preset scheduling strategy to obtain a scheduling order configuration result; and obtaining a scheduling result for specific resource objects, scheduling time, and scheduling quantity based on the scheduling order configuration result.

[0028] In this embodiment of the invention, because it first identifies the idle capacity of traditional power generation enterprises and the curtailed wind and solar resources of new energy through a supplier priority list to obtain a set of special resources to be dispatched, and then performs priority evaluation and dispatch order configuration on each resource in the set of special resources to be dispatched based on a preset dispatch strategy, and determines the specific resource objects, dispatch time and dispatch quantity according to the dispatch order configuration result, it overcomes the problems of the prior art where the idle capacity of traditional power generation enterprises is not accurately identified and utilized, the curtailed wind and solar resources of new energy are difficult to effectively integrate, and there is a lack of orderly dispatch configuration for such special resources, resulting in serious resource waste and power supply and demand imbalance in some areas. It achieves accurate integration and orderly dispatch of the idle capacity of traditional power generation enterprises and the curtailed wind and solar resources of new energy, which can fully release idle capacity, reduce the curtailment rate of new energy, and reasonably arrange dispatch objects, time and quantity according to actual power demand, improve the overall utilization efficiency of power resources, and ensure the balance of power supply and demand and stable operation of the power system.

[0029] In a preferred embodiment of the present invention, based on the scheduling results, an off-grid consumption path is provided for green power capacity. The off-grid consumption path includes on-site off-grid consumption completed by the purchaser itself or by entrusting a third party to complete the consumption, in order to obtain corresponding green certificates. The process includes: extracting scheduling resources belonging to green power capacity from the scheduling results to obtain a green power scheduling subset; receiving the consumption path selected by the purchaser for the green power scheduling subset, wherein the consumption path includes on-site consumption completed by the purchaser itself or by entrusting a third party to complete the consumption; configuring corresponding energy transmission channels and metering monitoring points according to the selected consumption path to obtain an off-grid consumption implementation plan; and obtaining green certificates corresponding to the consumed electricity volume based on the execution data of the off-grid consumption implementation plan.

[0030] In this embodiment of the invention, because the scheduling resources belonging to green power capacity are extracted from the scheduling results to obtain a green power scheduling subset, the purchasing policy selects a self-designated consumption point or a consumption path for local consumption by a third party for the green power scheduling subset, and then configures the corresponding energy transmission channel and metering monitoring point according to the selected consumption path to form an off-grid consumption implementation plan, and obtains green certificates corresponding to the consumed electricity based on the execution data of the off-grid consumption implementation plan, this invention overcomes the shortcomings of the prior art, such as the lack of dedicated off-grid consumption path design for green power and the lack of clear certification and traceability mechanisms in the green power consumption process, which leads to the inability to obtain green certificates in compliance with regulations and the difficulty in efficiently utilizing green power resources. The standardization and traceability of off-grid consumption of green power ensures that the purchasing party can consume green power in compliance with regulations through a clear path and obtain the corresponding green certificates, which not only revitalizes green power capacity, but also provides strong support for the low-carbon transformation of the power system.

[0031] In a preferred embodiment of the present invention, based on green electricity trading and off-grid consumption, data monitoring and display are performed on the self-generated and self-consumed portion of electricity by power producers to obtain transparent data on electricity production and consumption. This transparent data includes details of electricity production and consumption corresponding to green certificates. The process includes: acquiring self-generated and self-consumed electricity data from the off-grid consumption implementation plan and extracting corresponding electricity production details from the monitoring data; classifying and integrating the self-generated and self-consumed electricity data and electricity production details to obtain a complete data set including grid-connected consumption and off-grid consumption; establishing a correlation between the complete data set and the corresponding green certificate information to obtain traceable data containing details of electricity production and consumption corresponding to green certificates; and visualizing the traceable data to obtain transparent data for display.

[0032] In this embodiment of the invention, the technical means of first acquiring the self-generated and self-consumed power data in the off-grid consumption implementation plan, extracting the corresponding power production details from the monitoring data, classifying and integrating the self-generated and self-consumed power data and power production details to obtain a complete data set including grid-connected consumption and off-grid consumption, and finally establishing a correlation between the complete data set and the corresponding green certificate information to form traceable data containing the power production and consumption details corresponding to the green certificates, and visualizing the traceable data to obtain transparent data, effectively overcomes the lack of data monitoring for the self-generated and self-consumed power of power producers, the lack of transparency in power production and consumption data, and the lack of correlation between green certificates and corresponding power production and consumption details, which leads to the inability to trace the data. This achieves accurate monitoring of the self-generated and self-consumed power data of power producers, transparent management of power production and consumption data, and establishes a traceability correlation between green certificates and corresponding power production and consumption details. The visualized transparent data makes the data easier to view and verify, provides data support for the compliance of green electricity transactions, and further ensures the transparency and credibility of power resource dispatch.

[0033] In a preferred embodiment of the present invention, based on the power production and consumption details corresponding to the green certificates, data from the associated carbon trading market is called through an API interface to link the obtained green certificates with the carbon trading market and complete the green certificate reversal transaction. This includes: obtaining the power production and consumption details corresponding to the green certificates contained in the transparent data to obtain a green certificate associated data package; calling the real-time data of the associated carbon trading market through an API interface to obtain the current carbon quota price and trading rule information; establishing a reversal correspondence between green certificates and carbon quotas based on the green certificate associated data package and the real-time data of the carbon trading market to obtain the reversal transaction configuration; and automatically executing market trading operations for green certificates and carbon quotas according to the reversal transaction configuration to complete the green certificate reversal transaction process.

[0034] In this embodiment of the invention, because it obtains green certificate-related data packages by acquiring the power production and consumption details corresponding to green certificates contained in transparent data, and calls real-time data from the associated carbon trading market through an API interface to obtain the current carbon quota price and trading rule information, it then establishes a positive correlation between green certificates and carbon quotas based on the green certificate-related data packages and the real-time data from the carbon trading market to obtain the positive trading configuration. Finally, it automatically executes market trading operations for green certificates and carbon quotas according to the positive trading configuration. Therefore, it overcomes the problem in the prior art where green certificates cannot be linked with the carbon trading market, resulting in the difficulty in converting the carbon emission reduction benefits of green power consumption and inefficient resource allocation. It achieves precise linkage between green certificates and the carbon trading market, automates and standardizes the green certificate positive trading process, and enables the carbon emission reduction benefits generated by green power consumption to be effectively implemented through carbon trading, thereby improving the overall efficiency of power resource allocation.

[0035] In a specific implementation of this invention, the specific process includes: in a power dispatching scenario in an industrial city in East China, firstly deploying monitoring terminals adapted to traditional coal-fired power plants, new energy wind power plants, new energy photovoltaic plants, energy storage facility operators, and cross-regional power transmission management entities; configuring unit operation monitoring terminals for traditional coal-fired power plants; configuring wind turbine converter monitoring terminals for new energy wind power plants; configuring photovoltaic inverter monitoring terminals for new energy photovoltaic plants; configuring energy storage capacity monitoring terminals for energy storage facilities; configuring transmission capacity and voltage monitoring terminals for cross-regional power transmission lines; and simultaneously configuring supply and sales data statistics terminals for all power producers. These monitoring terminals upload heterogeneous data streams in different formats. For example, traditional coal-fired power plants upload real-time power generation and idle capacity data; new energy plants upload real-time power generation and curtailment data; energy storage facilities upload real-time energy storage capacity data; cross-regional power transmission terminals upload real-time available capacity and voltage stability data; and supply and sales data statistics terminals upload real-time sales prices, sold electricity, and remaining sellable electricity data. Data parsing is initiated, matching corresponding parsing rules to each heterogeneous data stream format. Industrial bus protocol data, JSON data, XML data, binary data, and CSV table data are uniformly converted into a system-preset structured format, and data field names are uniformly defined. For example, the power generation and output data of the units are converted into... The wind farm power generation data is uniformly named "Real-time Power Generation," with a unified data unit: power generation in megawatts, voltage in kilovolts, and electricity in megawatt-hours. A unified timestamp accuracy to the second level is used. The data is then categorized and stored as follows: Enterprise qualification information, total unit capacity, total energy storage capacity, and rated capacity of inter-regional transmission lines for each power producer are categorized as "Basic Information of Power Producers" and stored in the basic information database. Real-time power generation, idle unit capacity, real-time power generation, wind and solar curtailment, real-time energy storage capacity, real-time available transmission capacity, and voltage stability data are categorized as "Real-time Production Data" and stored in the real-time database. Real-time sales prices, sold electricity, and remaining sellable electricity are categorized as "Supply and Sales Data" and stored in the transaction database.

[0036] The system retrieves categorized and stored data from basic information databases, real-time databases, and transaction databases. It then activates a real-time monitoring engine, performing a comparative analysis every 5 minutes to monitor the operational status and supply behavior of various power producers. For operational status monitoring, for traditional coal-fired power plants, it compares the real-time power generation with the rated power of the units, calculates idle capacity, and monitors for unit shutdowns due to malfunctions. For new energy wind and solar power plants, it compares real-time power generation with the power generation predicted based on the day's weather forecast, analyzes whether wind and solar curtailment exceeds reasonable limits, and checks for operational anomalies in wind turbines and solar inverters. For energy storage facilities, it monitors the real-time energy storage capacity as a percentage of total capacity to determine if it meets grid regulation needs. For inter-regional transmission lines, it monitors the difference between real-time available capacity and rated capacity, tracks voltage data in real-time, and determines whether the voltage is within a stable range. In terms of supply behavior monitoring, the current bid prices of each power producer are compared with those of the previous monitoring period to check for any abnormal fluctuations; the sold electricity volume is verified against the sales ledger records to confirm the accuracy of the statistics; and the remaining sellable electricity volume is checked to ensure it is updated in real time according to changes in sold electricity volume. When situations are detected such as a sudden increase of more than 10% in idle capacity of traditional coal-fired power units, more than 20% exceeding the predicted value in wind and solar curtailment, less than 20% of the total energy storage capacity, transmission voltage fluctuations exceeding ±5%, or bid price increases or decreases exceeding 10%, the corresponding abnormal status is marked in the initial monitoring results, and the specific time of the abnormality, the name of the power producer involved, and the abnormal data value are recorded.

[0037] The system invokes preset stability criteria and data quality rules to verify and integrate the initial monitoring results. The stability criteria include: a voltage stability standard of no more than ±5% for voltage fluctuations in cross-regional transmission lines and power generation equipment; if the voltage fluctuation in a certain region reaches ±6% in the initial monitoring results, it is considered an abnormal voltage instability. A unit operation stability standard of no less than 24 hours of continuous, fault-free operation for traditional coal-fired power units and new energy power generation equipment; if a wind turbine experiences a 2-hour shutdown, it is considered an abnormal operation stability. A storage regulation stability standard of maintaining energy storage capacity between 20% and 80% of the total capacity; if the energy storage capacity drops to 15%, it is considered an abnormal energy storage regulation. A wind and solar curtailment rate standard of no more than 5% for new energy enterprises; if a photovoltaic enterprise's curtailment rate reaches 7.8%, it is considered an abnormal curtailment rate. Data quality rules include: Data integrity rules require that the missing rate of real-time production data and supply and sales data of each power producer does not exceed 1%. If a coal-fired power plant loses 10 minutes of data due to network interruption, with a missing rate of 3.3%, the missing data will be supplemented by referring to the power generation and sales data of the same period of the previous 3 days and combining it with data of similar coal-fired power plants during the same period. Data consistency rules require that the deviation between the real-time quoted price and the average quoted price of the past 3 days does not exceed 10%. If a company's quoted price increases by 15% compared to the average price, the company will be contacted to confirm the reason for the price change, and the data will be updated after ruling out data transmission errors. Data timeliness rules require that the monitoring data update interval does not exceed 5 minutes. If the data of a transmission line is not updated after an interval of 8 minutes, a terminal re-collection data command will be triggered. After verification, the system integrates all data, deletes duplicate records of abnormal information, corrects erroneous data, and supplements missing data, ultimately forming monitoring data containing basic information of each power producer, real-time production data, supply and sales data, and abnormal handling records.

[0038] In a specific implementation of this invention, the process includes: classifying and extracting key parameters related to scheduling decisions from stored monitoring data; and extracting differentiated parameters for different types of power producers: for traditional coal-fired power plants, real-time power generation is extracted in conjunction with idle capacity data of generating units; voltage stability data is extracted in conjunction with voltage transmission data between the plant and the power supply lines to the industrial park; and the peak-shaving period floating price is marked when extracting the bid price. For new energy wind power plants, real-time power generation is extracted in conjunction with daily wind curtailment data; voltage stability data is extracted in conjunction with voltage monitoring values ​​of wind power grid-connected nodes; and the green electricity-specific bid price is marked when extracting the bid price. For new energy photovoltaic plants, real-time power generation is extracted in conjunction with theoretical power generation corresponding to irradiance; voltage stability data is extracted in conjunction with voltage data of photovoltaic grid-connected lines; and the green electricity attribute is also marked when extracting the bid price. Simultaneously, energy type is marked for all extracted key parameters. Based on the extracted key parameters, and combined with the local power dispatching system of an industrial city in East China... The rules and dispatch policies establish compliant supplier selection criteria: Based on local renewable energy consumption quota policies, the average wind and solar curtailment rate of renewable energy enterprises in the past 7 days must not exceed 5%; based on traditional coal-fired power peak-shaving policies, the dispatch response time for idle capacity of traditional coal-fired power enterprises must not exceed 30 minutes; based on grid safety rules, the voltage fluctuation range of all suppliers must not exceed ±5%, excluding suppliers whose bid prices exceed the range approved by the local price department, thus forming a complete compliant supplier selection criterion. On this basis, a multi-dimensional comprehensive evaluation rule is defined: evaluation dimensions and corresponding weights are set, with policy compliance matching accounting for 30% of the weight, voltage stability accounting for 25%, real-time power generation matching accounting for 25%, and bid price reasonableness accounting for 20%. The scoring standards for each dimension are clarified, such as voltage fluctuation of 0-2% receiving full marks, 2%-5% deducting points proportionally, and above 5% receiving no marks; real-time power generation matching 100% of the preset gap demand receiving full marks, with lower matching degrees resulting in more deductions.

[0039] All power producers underwent compliance screening, excluding new energy companies with wind and solar curtailment rates exceeding 5%, traditional coal-fired power companies with idle capacity response times exceeding 30 minutes, suppliers with voltage fluctuations exceeding 5%, and those with irregular pricing. Only compliant suppliers were retained for the scoring stage. A comprehensive score for compliant suppliers was calculated according to multi-dimensional evaluation rules: For example, a compliant wind power company had a 3% wind and solar curtailment rate in the past 7 days, a voltage fluctuation of 1.5%, and its real-time power generation could supplement a 1.5% power shortage in an industrial park. Its bid price was at a mid-range level within the local approval range, resulting in a comprehensive score of 91 points. Similarly, a compliant traditional coal-fired power company had an idle capacity response time of 20 minutes, a voltage fluctuation of 2%, and its real-time power generation could supplement a 3% power shortage in an industrial park. Its bid price was slightly below the mid-range level, resulting in a comprehensive score of 98 points. The scoring calculation for all compliant suppliers was completed in the same manner, ensuring that each scoring item corresponded to... To avoid subjective scoring bias, the actual data of key parameters were used to rank all compliant suppliers in descending order of their comprehensive scores, resulting in a preliminary supplier priority list. Simultaneously, considering the actual dispatching needs of an industrial city in East China, energy type balance verification was added during the ranking process. If the top 10 in the preliminary list were all new energy companies, the ranking of traditional coal-fired power companies within the same score range was adjusted appropriately to ensure that the top 10 included 3-4 traditional coal-fired power companies with the ability to utilize idle capacity. If the proportion of new energy companies in the preliminary list was too low, compliant new energy companies with similar scores were appropriately promoted 1-2 ranks. The final supplier priority list, with the top 5 suppliers having the highest comprehensive scores, included 2 traditional coal-fired power companies, 2 wind power companies, and 1 photovoltaic company. This not only met local dispatching policy requirements but also addressed the power supply gap, wind and solar curtailment, and idle capacity issues in the background.

[0040] In a specific implementation of this invention, the specific process includes: obtaining key parameters related to scheduling decisions from stored monitoring data, including real-time power generation capacity, idle capacity, and idle capacity scheduling response time data of traditional coal-fired power plants; real-time power generation capacity of new energy wind power and photovoltaic power plants; average wind and solar curtailment rate data over the past 7 days; voltage stability data of all power producers; electricity price data; and energy type identification. Simultaneously, obtaining preset local power scheduling rules and policies from the system of the power management department of an industrial city in East China, including new energy consumption quota policies, traditional coal-fired power peak-shaving guarantee policies, grid voltage safety operation rules, green electricity certification management methods, and electricity price approval ranges. Based on the obtained local power dispatch rules and policies, compliance criteria were extracted: According to the new energy consumption quota policy, the average wind and solar curtailment rate of new energy enterprises in the past 7 days must not exceed 5%; according to the traditional coal-fired power peak-shaving guarantee policy, the dispatch response time of idle capacity of traditional coal-fired power enterprises must not exceed 30 minutes; according to the grid voltage safety operation rules, the voltage fluctuation range of all power producers must not exceed 5%; according to the green electricity certification management method, green electricity suppliers must have complete green electricity production certification documents; according to the electricity sales price range, the supplier's sales price must be within the range of 0.45 yuan to 0.6 yuan per kilowatt-hour stipulated by the local price department. These compliance criteria were integrated to construct compliant supplier screening criteria: only suppliers who simultaneously meet the requirements for wind and solar curtailment rate, response time, voltage fluctuation, green electricity certification, and price range can proceed to the next stage. Suppliers who do not meet any one of the criteria are directly excluded, such as new energy enterprises with a wind and solar curtailment rate of 7.8% or traditional coal-fired power enterprises with an idle capacity response time of 40 minutes.

[0041] Key parameters for suppliers that meet the compliance supplier screening criteria are extracted, including the available idle capacity of traditional coal-fired power plants, the green electricity supply of renewable energy plants, the proportion of real-time power generation of all compliant suppliers that can supplement the power supply gap, the actual voltage fluctuation value, and the bid price. The deviations of these suppliers' bid prices from the local approval range are also analyzed. Based on the above data, a multi-dimensional comprehensive evaluation rule is established, defining the evaluation dimensions and weighting coefficients for each dimension: Considering the issues of renewable energy curtailment, idle traditional coal-fired power plants, and power supply gaps in industrial parks in a certain industrial city in East China, policy compliance matching is set at a weight of 30%, encompassing the compliance rate of renewable energy curtailment, the compliance rate of traditional coal-fired power peak-shaving response, and the completeness of green electricity certification; power supply gap adaptability is set at a weight of 25%, with the proportion of real-time power generation of suppliers that can supplement the 5% power supply gap in industrial parks as the core indicator; voltage stability is set at a weight of 25%, with the deviation of actual voltage fluctuation from the 5% standard as the core indicator; and the reasonableness of bid prices is set at a weight of 20%, with the bid price as the core indicator. The deviation from the median of the locally approved range is the core indicator. The calculation rules for each dimension are then defined: In the policy compliance matching dimension, new energy enterprises receive 6 points (out of 30) for every 1 percentage point decrease in the wind and solar curtailment rate below 5%, traditional coal-fired power enterprises receive 6 points (out of 30) for every 5 minutes (out of 30) decrease in response time below 30 minutes, and green electricity suppliers receive an additional 3 points for having complete certification documents; In the power supply gap adaptability dimension, suppliers receive 5 points (out of 25) for every 1% increase in the proportion of power supply gaps they can fill; In the voltage stability dimension, voltage fluctuations receive 5 points (out of 25) for every 1 percentage point decrease in the ±5% standard; In the reasonableness of the quoted price dimension, the quoted price receives 2 points (out of 20) for every 1% reduction in the deviation from the median of the approved range.

[0042] The framework for screening and evaluation is structured so that suppliers first pass the compliance screening criteria. Suppliers that fail the screening are marked as non-compliant and excluded from the evaluation process. Only compliant suppliers that pass the screening proceed to the multi-dimensional comprehensive evaluation stage. A data linkage mechanism is then implemented to automatically synchronize key parameters from the compliance screening criteria to the corresponding dimensions of the multi-dimensional comprehensive evaluation rules. For example, the wind and solar curtailment rate data of selected new energy companies is automatically synchronized to the calculation of policy compliance matching, and the response time data of traditional coal-fired power companies is automatically synchronized to the same dimension module, avoiding duplicate data entry or discrepancies. Finally, a system is built... The unified supplier evaluation and screening mechanism operates as follows: The system first automatically retrieves key parameters of suppliers and local power dispatch rules and policies for compliance screening to obtain a list of compliant suppliers; then, based on the supplier data in the compliant list, it automatically calculates the comprehensive score according to the preset evaluation dimension weight coefficients and calculation rules; at the same time, the mechanism is equipped with a dynamic adjustment function. If local power dispatch rules or policies change, the judgment criteria in the compliant supplier screening conditions can be automatically updated, and the calculation logic of the corresponding dimensions in the multi-dimensional comprehensive evaluation rules can be adjusted simultaneously to ensure that the entire mechanism always conforms to the actual power dispatch needs of an industrial city in East China and solves the problem of inefficient resource allocation.

[0043] In a specific implementation of this invention, the specific process includes: first, retrieving the obtained supplier priority list, which contains the energy type identifier of each supplier, the idle capacity markings and specific values ​​of traditional power generation enterprises, and the wind and solar curtailment markings and specific values ​​of new energy enterprises; simultaneously, associating the real-time geographical location and power supply coverage information of each supplier; for traditional power generation enterprises, filtering suppliers with the energy type identifier of traditional coal power in the priority list, and extracting the clearly marked idle capacity data, for example, one traditional coal power supplier marks an idle capacity of 200 MW, and another traditional coal power supplier marks an idle capacity of 150 MW; these information, including the company name, idle capacity value, and power supply coverage area, are included in the scope to be identified; for For new energy companies, suppliers with energy type identified as wind power or photovoltaic are selected, and their data on wind and solar curtailment are extracted. For example, a wind farm may have a daily wind curtailment of 50 MW, and a photovoltaic power station may have a daily solar curtailment of 30 MW. The names of these companies, the amount of wind and solar curtailment, and their power supply coverage areas are also recorded. The extracted idle traditional coal-fired power capacity resources are integrated with the new energy wind and solar curtailment resources. Resources that cannot be covered by power supply to certain industrial parks in a certain industrial city in East China are removed. Finally, a special set of resources to be dispatched is formed. This set clearly distinguishes the resource types and includes key information such as the companies to which the resources belong, the specific power values, and the coverage areas. This provides a basis for targeted dispatching to solve the problems of idle traditional capacity and new energy curtailment in the city.

[0044] A pre-defined dispatch strategy was established, tailored to the core needs of an industrial city in East China. The primary objective was to fill a 5% power supply gap in a local industrial park, while the secondary objective was to reduce the curtailment rate of wind and solar power by 7.8%. This required ensuring grid voltage stability and dispatch response speed. Based on this strategy, resources within the special resource set to be dispatched were prioritized: First, the dispatch response speed of resources was assessed. The startup response time for idle capacity of traditional coal-fired power plants is generally within 20 to 30 minutes. Curtailed wind and solar power resources are already generated idle electricity requiring no additional startup time; therefore, resources with a response time of 30 minutes or less were prioritized. Next, the adaptability of resources to the power supply gap was assessed, calculating the proportion of the power supply gap that each resource could supplement. For example, a traditional coal-fired power plant with 200 MW of idle capacity could supplement a 2% gap, and a wind farm... 50 MW of curtailed wind power can supplement 1% of the power gap, with higher suitability leading to higher priority. Finally, the voltage stability of the resources is assessed by retrieving voltage fluctuation data for each resource from monitoring data. Resources with voltage fluctuations of 3% or less are prioritized to avoid impacting grid stability after dispatch. The dispatch order is configured based on the assessment results: the first tier dispatches traditional coal-fired power idle capacity that can respond quickly and has a high suitability ratio for the power gap, for example, traditional coal-fired power resources that can supplement 2% of the gap, have a 20-minute response time, and a 2% voltage fluctuation are prioritized; the second tier dispatches new energy curtailed wind and solar power resources, prioritizing wind farms and photovoltaic power plants with a high suitability ratio for the power gap and stable voltage, for example, wind farm curtailed resources that can supplement 1% of the gap and have a 1.5% voltage fluctuation are prioritized; the third tier dispatches the remaining traditional idle capacity and new energy curtailed resources.

[0045] First, detailed information on the first-tier resources was extracted from the scheduling sequence configuration results. The specific resource targets were identified as two traditional coal-fired power plants, Company A and Company B, located near an industrial city in East China. Based on the peak electricity consumption periods of the industrial park, the scheduling time was set to these two peak periods. According to the gap-filling needs, 100 MW of power was allocated to Company A and 75 MW to Company B, which can fill approximately 1.75% of the power supply gap. Next, the second-tier resource information was extracted, identifying Wind Farm C and Solar Power Station D as the specific resource targets. The scheduling time was synchronized with the peak periods of the industrial park. Considering the characteristic of solar power stations generating electricity only during the day, the scheduling time for Solar Power Station D was adjusted to 10:00 to 12:00. The scheduling time for Wind Farm C covered both peak periods, with 50 MW allocated to Wind Farm C and 30 MW to Solar Power Station D, which can fill approximately 0.8% of the power supply gap and reduce the wind and solar curtailment rate by approximately 1.2%. Finally, by integrating all the dispatch information, the specific resource targets were identified as traditional coal-fired power plants A and B, and new energy plants C and D. The dispatch time was from 10:00 to 12:00 and from 18:00 to 20:00 daily, with a total dispatch quantity of 255 MW. A complete dispatch result was obtained, which can be directly used to execute dispatch operations, gradually filling the 5% power supply gap in the industrial park, while continuously reducing the curtailment rate of wind and solar power.

[0046] In a specific implementation of this invention, the process includes: first, retrieving the dispatch results obtained for an industrial city in East China. These results include the energy type, supplier, dispatched power volume, power supply coverage, and resource attribute labels for each resource object. Resources labeled as wind power or photovoltaic power are then selected from the dispatch results, as these resources belong to green electricity production capacity. Simultaneously, the portion involving wind and solar power curtailment is extracted, for example, a wind farm's dispatch results indicating 50 MWh of wind power curtailment and a photovoltaic power station's dispatch results indicating 30 MWh of solar power curtailment. This ensures that previously idle green electricity resources are included in the extraction scope. Further, the basic information of the suppliers of these green electricity resources is linked, including company name, green electricity production qualification number, power line connection capacity, and the real-time power supply coverage area of ​​the resources. The green electricity resources that have been selected, extracted, and verified are then integrated to obtain a green electricity dispatch subset. This subset clearly records the supply of each green electricity resource. The platform establishes an online operation platform that displays green power dispatch subsets in a visual list format, clearly indicating the power volume, supplier, coverage area, and estimated consumption cost of each green power resource for buyers to query and select. Buyers mainly include local industrial parks in the city experiencing power shortages and enterprises that need to obtain green certificates for compatibility. After logging into the platform, buyers can submit consumption path selections for specific green power resources within the green power dispatch subset: if they choose to designate their own consumption point, they need to fill in the specific address of the consumption point, the power access capacity of the consumption point, and the estimated consumption time; if they choose to entrust a third party to complete local consumption, they need to specify the name of a qualified third-party energy service company and provide proof of cooperation between the third party and the consumption point. The platform receives the consumption path selection information submitted by buyers in real time and automatically verifies whether the power access capacity of the consumption point matches the power volume of the selected green power resource. If they do not match, the platform prompts the buyer to adjust their selection.

[0047] For the self-designated energy consumption point route chosen by the buyer, the power access parameters of the consumption point are first adjusted, and then the power supply lines of the green energy resource supplier are connected. A dedicated energy transmission channel from the supplier's power plant to the consumption point is planned. For example, a 10 kV transmission line of a wind farm is directly connected to the 10 kV distribution network of an energy storage station in an automobile manufacturing industrial park. Simultaneously, smart energy metering devices are installed at the start and end points of the transmission channel. These devices have real-time data upload capabilities and can record the start and end times of energy transmission, instantaneous power, and cumulative energy consumption. For the third-party consumption route chosen by the buyer... Connect with the transmission network of third-party energy service companies, confirm that the third party has the right to use the transmission lines from the green electricity supplier's power plant to the consumption point, plan the transmission channel from the supplier's power plant through the third party's transmission line to the consumption point, and set up metering and monitoring points at the connection points between the third party's transmission line and the supplier's power plant, and between the third party's transmission line and the consumption point to ensure that the electricity is traceable throughout the process. Integrate the transmission channel planning scheme, the location of the metering and monitoring points, the equipment model, the responsible party for operation and maintenance, and the consumption time arrangement to form a complete off-grid consumption implementation plan. The plan must clearly indicate the execution standards for each link.

[0048] During the implementation of the off-grid consumption scheme, real-time data on electricity consumption uploaded by each metering and monitoring point is collected, including hourly cumulative consumption, voltage stability data, and transmission channel operation status. This ensures that the data is consistent with the actual electricity consumption records of the consumption points. After the implementation is completed, all metering data is automatically summarized to generate an off-grid consumption execution report. The report includes the name of the green energy resource supplier, the name of the purchaser, the type of consumption path, the start and end time of consumption, the cumulative consumption, the original data of each metering point, and the data verification results. It also links the green energy production certification documents of the green energy resource supplier. The off-grid consumption execution report and green energy qualification documents are integrated and automatically uploaded to the green certificate application management platform of an industrial city in East China. The platform reviews the materials according to the local green certificate issuance standards. After the review is approved, a green certificate corresponding to the consumption is generated. The platform receives the electronic green certificate from the green certificate application management platform and binds it to the purchaser's consumption record for storage. The purchaser can query and download the green certificate at any time, realizing the certification and traceability of green energy consumption and solving the problem of the lack of a clear certification and traceability mechanism for green energy consumption in the background.

[0049] In a specific implementation of this invention, the process includes: first, retrieving the off-grid consumption implementation plan formulated for new energy enterprises in an industrial city in East China; extracting self-generated and self-consumed power data from the plan, including the self-generated and self-consumed power volume of each new energy enterprise, the specific time period of self-generated and self-consumed power, and the corresponding power access point; simultaneously recording whether this self-generated and self-consumed power comes from wind and solar curtailment resources; then extracting the power production details corresponding to the aforementioned new energy enterprises from the monitoring data, including the total hourly power generation, real-time power generation, the cumulative wind and solar curtailment on the day, and the operating status of power generation equipment; first, classifying the acquired self-generated and self-consumed power data according to the consumption scenario into two categories: enterprise self-operation and self-consumed power and power entrusted to a third party for local consumption but not connected to the grid; labeling each category of data with the corresponding enterprise name, time period, power volume, and consumption location; and then further classifying the power... The power generation details are categorized into three types based on the power generation stage: total power generation, real-time power generation, and wind / solar curtailment conversion. Each type of data is labeled with the corresponding time node, equipment number, and power generation status. Subsequently, the data is integrated from the perspective of power producers. Taking a wind farm as an example, the data integrates its total daily power generation of 180 MWh, real-time power generation fluctuation range of 25 to 40 MWh, wind curtailment converted to self-use of 8 MWh, self-operated self-consumption of 10 MWh, off-grid consumption entrusted to third parties of 12 MWh, and grid-connected consumption of 150 MWh. At the same time, grid-connected consumption data related to green electricity transactions of traditional coal-fired power companies are also included in the integration scope. Finally, a complete data set including grid-connected consumption and off-grid consumption is formed. Each data entry in the set is clearly labeled with its source, type, and time period to avoid data confusion.

[0050] First, information on green certificates issued to local new energy companies by the green certificate application management platform in an industrial city in East China was collected. This included the unique number of each green certificate, the corresponding amount of green electricity, the issuance date of the green certificate, the name of the power producer, and the green electricity production period. Then, each piece of green electricity production and consumption data in the complete dataset was linked to the corresponding green certificate information. For example, a photovoltaic power station generated a total of 20 MWh of electricity between 10:00 and 11:00 on May 20th, of which 5 MWh were consumed off-grid and 2 MWh were consumed by the user, corresponding to 7 green certificates. The numbers and issuance dates of these 7 green certificates were then linked to the total power generation, off-grid consumption, and self-consumption details for that period, clarifying the specific consumption path corresponding to each green certificate, thus obtaining a complete set of data. The green certificate provides traceable data on electricity production and consumption details, ensuring that each green certificate can be traced back to the specific generation period, power generation, and consumption destination. Finally, the traceable data is visualized, and a data display interface is designed: the left side of the interface lists the names of various power producers by energy type. Clicking on a producer will expand a bar chart showing its daily total production, grid-connected consumption, off-grid consumption, and self-generated and self-consumed electricity. The right side of the interface displays a table showing the details associated with the green certificate, including the green certificate number, corresponding power generation, production period, consumption type, and consumption location. Clicking on any item in the table will jump to view the real-time power generation curve and metering monitoring data for the corresponding period, allowing purchasers and regulatory authorities to intuitively obtain information on the entire process of electricity production and consumption.

[0051] In a specific implementation of this invention, the specific process includes: first, retrieving relevant data of a new energy enterprise in an industrial city in East China from the stored transparent data. The transparent data contains details of power production and consumption corresponding to green certificates. Extracting the unique identification information of each green certificate, including the green certificate number, issuance date, corresponding green electricity volume, green electricity production enterprise name, production period, and consumption path. At the same time, confirming whether the green electricity comes from the conversion of wind and solar curtailment resources. Integrating this information to form a green certificate association data package, ensuring that each entry in the data package can clearly correspond to the source of green electricity production and the destination of consumption. Subsequently, the system's API interface function is activated, connecting to the national carbon trading market platform and the Yangtze River Delta regional carbon trading sub-platform. This interface retrieves real-time data from the current carbon trading market, including the current national carbon market carbon quota listing price, the Yangtze River Delta regional carbon quota transaction price, the daily carbon quota trading volume, and specific rules for carbon quota reversal trading, such as the carbon emission reduction calculation standards corresponding to green electricity consumption, the application conditions for green certificate reversal of carbon quotas, the reversal ratio, and the application process and review time limit for reversal trading. First, the carbon emission reduction is calculated for the green electricity volume corresponding to each green certificate in the green certificate-related data package. Based on the published guidelines for greenhouse gas emission reduction accounting for new energy power generation projects, the carbon emission reduction for different types of green electricity is calculated, such as 0.8 tons of carbon dioxide emission reduction per megawatt-hour of wind power and 0.78 tons of carbon dioxide emission reduction per megawatt-hour of photovoltaic power. If green electricity comes from the conversion of curtailed wind and solar resources, an additional 5% emission reduction reward is given according to the low-carbon policy of an industrial city in East China. For example, 10 megawatt-hours of green electricity converted from curtailed wind power in a wind farm, which was originally calculated to reduce carbon dioxide emissions by 8 tons, is ultimately calculated to reduce carbon dioxide emissions by 8.4 tons after the reward. Combined with real-time data obtained from the carbon trading market, a positive offsetting relationship between green certificates and carbon allowances is established: based on the carbon emission reduction calculated for each green certificate, the carbon allowance value that can be offset by the green certificate is determined according to the current carbon allowance price. At the same time, the validity period of the offsetting transaction and the settlement method of the offsetting transaction are clarified with reference to the carbon trading rules. These correspondences and parameters are integrated to form the offsetting transaction configuration. The configuration also includes the green certificate validity verification standard and the carbon allowance account status verification requirements.

[0052] First, the obtained offsetting transaction configuration is verified for compliance. This involves checking whether the green certificates in the associated data package are valid, whether the carbon emission reduction calculation results comply with national accounting standards, and whether the carbon quota offsetting ratio is consistent with the carbon trading market rules. If any non-compliance is found, the system automatically prompts for corrections and suspends the transaction. If all requirements are met, the system proceeds to the next step, automatically generating a carbon quota offsetting transaction declaration form based on the offsetting transaction configuration. The declaration form includes the carbon emission reduction offsetting carbon quota quantity corresponding to the green certificate number, the declaration entity information, and the counterparty's settlement account information. After generation, it is automatically submitted to the carbon trading market platform via API. The processing status of the declaration form in the carbon trading market is tracked in real time, including whether the declaration form has been received and approved. The status information, including completed and rejected transactions, is updated every 30 minutes. Once the application shows as completed, the settlement of funds or carbon allowances for the green certificate reversal transaction is automatically completed. The carbon allowance reversal record is bound and stored with the carbon emission reduction calculation results in the green certificate associated data package, resulting in a complete transaction traceability chain. A transaction completion notification is sent to the green electricity production enterprise, the green electricity purchaser, and the carbon trading market clearing institution. The notification includes the transaction number, green certificate information, reversal carbon allowance quantity, transaction price, and transaction time. At the same time, the reversal transaction data is synchronized to the transparent data module of the power dispatch system in an industrial city in East China for regulatory authorities to query and verify, realizing effective linkage between green certificates and the carbon trading market and solving the problem of green certificates not being able to link with the carbon trading market in the background.

[0053] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. An intelligent power energy scheduling system, characterized in that, The system includes: The acquisition module is used to collect basic information, real-time production data, and supply and sales data from multiple power producers, and to monitor the production data and supply and sales data in real time to obtain monitoring data. The sorting module is used to perform comprehensive priority sorting based on monitored data, preset local power dispatching rules, dispatching policies, and bid prices to obtain a supplier priority list, including: From the monitoring data, key parameters related to scheduling decisions are extracted, including real-time power generation, voltage stability, price information, and energy type. Based on key parameters related to dispatching decisions, and through pre-defined local power dispatching rules and policies, compliant supplier screening criteria are constructed. Furthermore, based on bid prices and key parameters, multi-dimensional comprehensive evaluation rules are defined, including: Obtain key parameters and preset local power dispatch rules and policies; obtain compliance judgment conditions through local power dispatch rules and policies; and construct compliant supplier screening conditions based on the judgment conditions. Based on the key parameters of the quoted price and the selection criteria for compliant suppliers, the weight coefficients and calculation rules for each evaluation dimension are set to define a multi-dimensional comprehensive evaluation rule; By linking the compliant supplier screening criteria with multi-dimensional comprehensive evaluation rules, a unified supplier evaluation and screening mechanism is formed. The selected suppliers are comprehensively evaluated using multi-dimensional evaluation rules to obtain the overall score result. Suppliers are ranked based on the comprehensive scoring results to obtain a supplier priority list; The scheduling module is used to identify and schedule idle capacity of traditional power generation companies and curtailed wind and solar resources of new energy sources based on a supplier priority list, in order to obtain scheduling results, including: By using the supplier priority list, idle capacity marked as traditional power generation enterprises and curtailed wind and solar resources of new energy are identified, and a special set of resources to be dispatched is obtained. Based on the preset scheduling strategy, priority evaluation and scheduling order configuration are performed on each resource in the special resource set to be scheduled, so as to obtain the scheduling order configuration result; Based on the scheduling order configuration results, the specific resource objects, scheduling time, and scheduling quantity are obtained; The consumption module is used to provide off-grid consumption paths for green power capacity based on scheduling results. Off-grid consumption paths include on-site off-grid consumption completed by the purchaser itself or by entrusting a third party to obtain the corresponding green certificate. Monitoring module: Used to monitor and display the self-generated and self-consumed electricity of power producers based on green electricity trading and off-grid consumption, to obtain transparent data on power production and consumption, and the transparent data includes details of power production and consumption corresponding to green certificates; Interface module: Based on the power production and consumption details corresponding to the green certificate, it calls the data of the associated carbon trading market through the API interface, links the obtained green certificate with the carbon trading market, and completes the green certificate reversal transaction.

2. The intelligent power energy dispatching system of claim 1, wherein The system collects basic information, real-time production data, and supply and sales data from multiple power producers, and monitors these data in real time to obtain monitoring data, including: Receive heterogeneous data streams uploaded by monitoring terminals deployed at various power producers; parse and standardize the heterogeneous data streams, and classify and store them into basic information of power producers, real-time production data and supply and sales data, so as to obtain classified and stored data; Based on this, the operating status and supply behavior of power producers are monitored in real time to obtain initial monitoring results; Based on the initial monitoring results, the monitoring results are verified and integrated through preset stability criteria and data quality rules to obtain monitoring data.

3. The intelligent power energy scheduling system of claim 2, wherein, Based on the dispatch results, off-grid consumption paths are provided for green power capacity. These off-grid consumption paths include those designated by the purchaser or entrusted to a third party to complete local off-grid consumption in order to obtain corresponding green certificates, including: The scheduling resources belonging to green power capacity are extracted from the scheduling results to obtain a green power scheduling subset; The system receives the consumption path selected by the purchaser for a subset of green electricity dispatch, wherein the consumption path includes either self-designated consumption points or entrusting a third party to complete local consumption. Based on the selected consumption path, the corresponding energy transmission channels and metering monitoring points are configured to obtain the off-grid consumption implementation plan; Based on the execution data of the off-grid power consumption implementation plan, green certificates corresponding to the consumed electricity are obtained.

4. The intelligent power energy dispatching system according to claim 3, characterized in that, Based on green electricity trading and off-grid consumption, data monitoring and display are performed on the self-consumption portion of electricity generated by power producers, resulting in transparent data on electricity production and consumption. This transparent data includes details of electricity production and consumption corresponding to green certificates, including: Obtain the self-generated and self-consumed power data in the off-grid consumption implementation plan, and extract the corresponding power production details from the monitoring data; The self-generated and self-consumed electricity data and electricity production details are classified and integrated to obtain a complete data set including grid-connected consumption and off-grid consumption. By establishing a correlation between the complete dataset and the corresponding green certificate information, traceable data containing details of power production and consumption corresponding to the green certificates is obtained. The traceable data is then visualized to obtain transparent data for display.

5. The intelligent power energy dispatching system according to claim 4, characterized in that, Based on the electricity production and consumption details corresponding to the green certificates, data from the associated carbon trading market is called through an API interface. The resulting green certificates are then linked with the carbon trading market to complete the green certificate reversal transaction, including: Obtain the power production and consumption details corresponding to the green certificates contained in the transparent data, obtain the green certificate associated data package, and call the real-time data of the associated carbon trading market through the API interface to obtain the current carbon quota price and trading rule information; Based on the green certificate associated data package and real-time data from the carbon trading market, a positive offsetting relationship between green certificates and carbon quotas is established to obtain the positive offsetting trading configuration; Based on the reversal trading configuration, the market trading operations of green certificates and carbon quotas are automatically executed to complete the green certificate reversal trading process.

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