Source-grid-load-storage provincial-regional coordinated regulation and control system for new energy consumption

Abstract

The invention relates to the technical field of electric power automation, in particular to a new energy consumption-oriented source-network-load-storage provincial-regional coordinated regulation and control system, which comprises a data processing module, a verification module, a real-time calculation module, a regional deviation module, a power correction module, a provincial-regional regulation and control module and a scheduling module, the verification module is respectively connected with the data processing module and the province and region regulation and control module, and the real-time calculation module is respectively connected with the verification module and the province and region regulation and control module; the region deviation module is respectively connected with the real-time calculation module and the verification module, the power correction module is connected with the region deviation module, the province and region regulation and control module is connected with the power correction module, and the scheduling module is connected with the province and region regulation and control module; by optimizing the prediction model and receiving the real-time monitoring data for verification and correction, the prediction accuracy of future data is improved, a more reliable basis is provided for formulating a power generation plan and a power transmission plan, and the absorption capacity of new energy and the stability of a power grid are improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power automation technology, and in particular to a source-grid-load-storage-saving and land-saving coordinated control system for new energy consumption. Background Art

[0002] With the vigorous development of renewable energy power generation, the rate of renewable energy power generation connected to the grid in the power system is relatively high, and more renewable energy power generation will be connected to the grid in the future. However, renewable energy power generation is difficult to predict, has large output fluctuations, and is easily affected by environmental factors. It is difficult to coordinate and optimize the active and reactive power balance of the power system, controllable resources are difficult to fully utilize, and it is difficult to coordinate and regulate between regions, resulting in the difficulty of efficient absorption of distributed power sources.

[0003] The existing publication number CN116131297A discloses a source-grid-load-storage-province-and-region coordinated control method and system for new energy consumption, the method includes calculating the power generation plan of each unit and the planned value of power transmission between the province and the region; calculating the deviation power of the regional power grid through the actual wind power and photovoltaic power generation of the regional power grid, correcting the planned value of power transmission between the province and the region a day ago, and using the energy storage and multi-flexibility resources of the provincial and local dispatching to achieve power balance of the regional power grid; taking the provincial dispatching as the upper decision maker, according to the pre-established provincial dispatching constraints, in the case of power deviation of the local dispatching, the coordinated local dispatching suppresses the fluctuation of the power grid; taking the local dispatching as the lower decision maker, according to the pre-established local dispatching constraints, the planned output of the local dispatching is completed. If the actual output of the local dispatching is greater than the planned output, the excess power is transmitted to the provincial dispatching for dispatching, and if the actual output is less than the planned output, the power shortage is supplemented by the dispatching of the provincial dispatching. It can solve the problems of large fluctuation of new energy output, regional power deviation, and difficulty in efficient consumption of distributed power sources.

[0004] However, the implementation of the above-mentioned source-grid-load-storage-saving-and-local coordinated control method and system for new energy consumption depends on accurate new energy power generation forecast, grid load forecast, and real-time new energy power generation and grid load monitoring data. If the forecast or monitoring data is inaccurate, it may lead to deviations in the formulation of control strategies, thereby affecting the consumption of new energy and the stable operation of the grid. Summary of the invention

[0005] The purpose of the present invention is to provide a source-grid-load-storage-saving and land-saving coordinated control system for new energy consumption, which solves the problem that if the existing source-grid-load-storage-saving and land-saving coordinated control methods and systems for new energy consumption are inaccurate in prediction or monitoring data, it may lead to deviations in the formulation of control strategies, thereby affecting the consumption of new energy and the stable operation of the power grid.

[0006] To achieve the above-mentioned purpose, the present invention provides a source-grid-load-storage-provincial-region coordinated control system for new energy consumption, comprising a data processing module, a verification module, a real-time calculation module, a regional deviation module, a power correction module, a provincial-regional-regional-regional-control module and a scheduling module, wherein the verification module is respectively connected to the data processing module and the provincial-regional-regional-control module, and the real-time calculation module is respectively connected to the verification module and the provincial-regional-regional-control module; the regional deviation module is respectively connected to the real-time calculation module and the verification module, the power correction module is connected to the regional deviation module, the provincial-regional-regional-control module is connected to the power correction module, and the scheduling module is connected to the provincial-regional-regional-control module;

[0007] The data processing module is used to collect real-time monitoring data and perform preprocessing;

[0008] The verification module is used to receive historical monitoring data and real-time monitoring data, optimize the prediction model, and verify and correct the real-time monitoring data;

[0009] The real-time calculation module is used to receive the verified monitoring data, perform calculations, and generate a power generation plan and a power transmission plan;

[0010] The regional deviation module is used to receive the real-time power generation plan and power transmission plan, as well as the verified real-time monitoring data, and calculate the deviation power;

[0011] The power correction module is used to receive the deviation power and correct the power transmission plan according to the deviation power;

[0012] The provincial and local control module is used to receive the power generation plan and the power transmission plan, as well as the revised power transmission plan, the optimized prediction model and the verified monitoring data, and formulate the coordinated control instructions based on this information;

[0013] The dispatching module is used to receive coordinated control instructions and dispatch energy storage and multiple flexibility resources according to the instructions.

[0014] Wherein, the verification module includes a model optimization unit and a data verification correction unit, the model optimization unit is connected to the data processing module, and the data verification correction unit is connected to the data processing module;

[0015] The model optimization unit is used to optimize the prediction model using historical monitoring data;

[0016] The data verification and correction unit is used to verify the monitoring data according to the preset data range and rules, and identify and correct abnormal data.

[0017] Wherein, the verification module further includes a monitoring unit, and the monitoring unit is connected to the model optimization unit and the data verification and correction unit respectively;

[0018] The monitoring unit records the module's operation log in real time, including key information during data processing, model optimization and data verification, and monitors the module's operating status and performance in real time, automatically triggering an alarm mechanism when an abnormality or failure occurs.

[0019] Wherein, the real-time calculation module includes a storage unit and a processing unit, the storage unit is connected to the model optimization unit and the data verification and correction unit respectively, and the processing unit is connected to the storage unit;

[0020] The storage unit is used to receive the data from the model optimization unit and the data verification and correction unit, and store the data in an internal memory;

[0021] The processing unit is used to process and analyze the stored data, including filtering, denoising and normalization.

[0022] Wherein, the real-time calculation module further includes a calculation unit, and the calculation unit is connected to the processing unit;

[0023] The computing unit includes multiple processors and memory, receives data transmitted by the processing unit, performs calculations and generates results, including generating a power generation plan and a power transmission plan.

[0024] Wherein, the data processing unit includes an access unit and a collection unit, and the collection unit is connected to the access unit;

[0025] The access unit is used to support multiple data formats and transmission protocols and access various data sources, including sensors, databases and networks;

[0026] The acquisition unit is used to acquire data from a data source and convert the data into a format suitable for subsequent processing.

[0027] The present invention discloses a source-grid-load-storage-provincial coordinated control system for new energy consumption, wherein the data processing module collects real-time monitoring data and performs preprocessing to provide basic data for subsequent steps. The verification module receives historical monitoring data and real-time monitoring data, optimizes the prediction model to improve the prediction accuracy of future data, and also verifies and corrects the real-time monitoring data to ensure the accuracy and reliability of the data. The real-time calculation module receives the verified monitoring data, performs calculations, and generates a power generation plan and a power transmission plan. The regional deviation module receives the real-time power generation plan and the power transmission plan, as well as the verified real-time monitoring data, and calculates the deviation power, that is, the difference between the actual power generation and transmission and the plan. The power correction module receives the deviation power and corrects the power transmission plan according to the deviation power to reduce the difference between the actual and the plan. The provincial control module receives the power generation plan and the power transmission plan, as well as the corrected power transmission plan, the optimized prediction model and the verified monitoring data. Based on this information, a coordinated control instruction is formulated to achieve effective consumption of new energy and stable operation of the power grid. The dispatching module receives the coordinated control instruction and dispatches energy storage and multiple flexible resources, such as electric vehicles, demand response, etc., according to the instruction to further balance the supply and demand of the power grid and improve the consumption capacity of new energy. By optimizing the prediction model and receiving real-time monitoring data for verification and correction, the accuracy of predictions for future data is improved, providing a more reliable basis for formulating power generation plans and power transmission plans, making the formulation of control strategies more accurate, and improving the new energy absorption capacity and grid stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0029] Figure 1 It is a principle block diagram of the source-grid-load-storage-land coordinated control system for new energy consumption according to the first embodiment of the present invention.

[0030] Figure 2 It is a principle block diagram of the verification module of the first embodiment of the present invention.

[0031] Figure 3 It is a principle block diagram of a data processing module and a real-time computing module according to the second embodiment of the present invention.

[0032] In the figure: 101-data processing module, 102-verification module, 103-real-time calculation module, 104-regional deviation module, 105-power correction module, 106-provincial and local control module, 107-scheduling module, 108-model optimization unit, 109-data verification and correction unit, 110-monitoring unit, 201-storage unit, 202-processing unit, 203-calculation unit, 204-access unit, 205-collection unit, 206-preprocessing unit. DETAILED DESCRIPTION

[0033] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0034] The first embodiment of the present application is:

[0035] See also Figure 1 and Figure 2 ,in, Figure 1 It is a principle block diagram of the source-grid-load-storage-land coordinated control system for new energy consumption according to the first embodiment of the present invention. Figure 2 It is a principle block diagram of the verification module 102 according to the first embodiment of the present invention.

[0036] The present invention provides a source-grid-load-storage-saving and local coordinated control system for new energy consumption, comprising a data processing module 101, a verification module 102, a real-time calculation module 103, a regional deviation module 104, a power correction module 105, a local control module 106 and a scheduling module 107. The verification module 102 comprises a model optimization unit 108, a data verification and correction unit 109 and a monitoring unit 110.

[0037] According to this specific implementation, the verification module 102 is connected to the data processing module 101 and the provincial and local control module 106 respectively, and the real-time calculation module 103 is connected to the verification module 102 and the provincial and local control module 106 respectively; the regional deviation module 104 is connected to the real-time calculation module 103 and the verification module 102 respectively, the power correction module 105 is connected to the regional deviation module 104, the provincial and local control module 106 is connected to the power correction module 105, and the scheduling module 107 is connected to the provincial and local control module 106;

[0038] The data processing module 101 is used to collect real-time monitoring data and perform pre-processing;

[0039] The verification module 102 is used to receive historical monitoring data and real-time monitoring data, optimize the prediction model, and verify and correct the real-time monitoring data;

[0040] The real-time calculation module 103 is used to receive the verified monitoring data, perform calculations, and generate a power generation plan and a power transmission plan;

[0041] The regional deviation module 104 is used to receive the real-time power generation plan and the power transmission plan, as well as the verified real-time monitoring data, and calculate the deviation power;

[0042] The power correction module 105 is used to receive the deviation power and correct the power transmission plan according to the deviation power;

[0043] The provincial and local control module 106 is used to receive the power generation plan and the power transmission plan, as well as the revised power transmission plan, the optimized prediction model and the verified monitoring data, and formulate the coordinated control instructions according to the information;

[0044] The scheduling module 107 is used to receive coordinated control instructions and schedule energy storage and multiple flexibility resources according to the instructions.

[0045] The data processing module 101 collects real-time monitoring data from power grids, power plants, energy storage devices and other related equipment, including but not limited to current, voltage, power, frequency, load level, new energy power generation output, etc., and performs preliminary processing on the collected data so that subsequent modules can efficiently process and use these data. The verification module 102 receives real-time monitoring data from the data processing module 101, and obtains historical monitoring data from other data sources, such as historical databases, and optimizes the existing prediction model using historical monitoring data and real-time monitoring data to improve the prediction accuracy of the model, involving the training and tuning of machine learning algorithms, and verifies the real-time monitoring data to identify and correct possible errors or outliers. The real-time calculation module 103 receives the verified and corrected monitoring data from the verification module 102, and calculates and generates power generation plans and power transmission plans based on real-time data and optimized prediction models. These plans are designed to meet load demand while maximizing the consumption of new energy. The regional deviation module 104 receives the power generation plan and the power transmission plan from the real-time calculation module 103, and receives the real-time monitoring data from the verification module 102, compares the real-time monitoring data with the power generation / transmission plan, and calculates the difference between the actual power generation and transmission and the plan, that is, the deviation power, which helps to identify the imbalance in the power grid. The power correction module 105 receives the deviation power information from the regional deviation module 104, and corrects the power transmission plan according to the size and direction of the deviation power to reduce the difference between the actual and the plan, which helps to maintain the stability and balance of the power grid. The provincial control module 106 receives the power generation plan and the power transmission plan from the real-time calculation module 103, receives the corrected power transmission plan from the power correction module 105, receives the optimized prediction model and the verified monitoring data from the verification module 102, and formulates coordinated control instructions based on the above information. These instructions are intended to coordinate the power generation and transmission activities in different regions to achieve the effective consumption of new energy and the stable operation of the power grid. The instructions include adjusting the power generation output, changing the power flow on the transmission line, and dispatching energy storage equipment. The dispatch module 107 receives the coordinated control instruction from the provincial control module 106, and dispatches energy storage equipment and multiple flexible resources, such as electric vehicles and demand response, according to the coordinated control instruction, which helps to balance the supply and demand of the power grid, improve the absorption capacity of new energy, and maintain the stability and reliability of the power grid. The source-grid-load-storage provincial-local coordinated control of new energy absorption is realized. This helps to improve the flexibility and stability of the power grid, maximize the utilization rate of new energy, and promote the transformation and upgrading of the energy structure.

[0046] Wherein, the model optimization unit 108 is connected to the data processing module 101, and the data verification and correction unit 109 is connected to the data processing module 101;

[0047] The model optimization unit 108 is used to optimize the prediction model using historical monitoring data;

[0048] The data verification and correction unit 109 is used to verify the monitoring data according to the preset data range and rules, and identify and correct abnormal data.

[0049] The model optimization unit 108 obtains historical monitoring data from the data processing module 101. These data have usually undergone preprocessing steps such as cleaning and format conversion. According to the prediction requirements and data characteristics, a suitable prediction model is selected. The prediction model includes a time series model and a machine learning model, such as a neural network, a support vector machine, etc. The selected model is trained using historical monitoring data, and the prediction error is minimized by adjusting the model parameters. The trained model is evaluated using cross-validation or other evaluation methods to check its prediction performance. According to the evaluation results, the model is further optimized, which may include adjusting the model structure, adding features, changing regularization parameters, etc. The optimized prediction model is output to other modules in the system, such as the real-time computing module 103, for subsequent use. The data verification and correction unit 109 obtains real-time monitoring data from the data processing module 101, and sets a reasonable data range and verification rules according to business requirements and data characteristics. The rules include data value range, change rate limit, logical relationship between data, etc. The real-time monitoring data is compared with the preset rules and ranges to identify abnormal data. The abnormal data includes data beyond a reasonable range, data with excessively large change rate, data inconsistent with other data, etc. The identified abnormal data is processed, including correcting erroneous data, such as filling with the average value of adjacent data, marking abnormal data for subsequent analysis, or directly discarding abnormal data, etc. The verified and corrected monitoring data is output to other modules in the system, such as the real-time calculation module 103, for subsequent use.

[0050] Secondly, the monitoring unit 110 is connected to the model optimization unit 108 and the data verification and correction unit 109 respectively;

[0051] The monitoring unit 110 records the operation log of the module in real time, including key information in the process of data processing, model optimization and data verification, and monitors the operation status and performance of the module in real time, and automatically triggers the alarm mechanism when an abnormality or failure occurs.

[0052] The monitoring unit 110 records the operation log of the module in real time, including but not limited to the input / output data, processing time, processing results, etc. in the data processing process, records the key information such as model parameters, training data, training results, evaluation indicators, etc. in the model optimization process, and records the verification rules, abnormal data, correction results, etc. in the data verification and correction process. Monitor the operation status of the module in real time, such as whether it is running, the running progress, the resource occupancy, etc., and evaluate the performance of the module through preset monitoring indicators such as CPU usage, memory occupancy, response time, etc.; monitor the data interaction and communication status between modules to ensure smooth and accurate data transmission. By analyzing the operation log and monitoring data, detect possible anomalies or faults, such as data processing errors, model optimization failures, inconsistent data verification, etc.; when anomalies or faults are detected, automatically trigger the alarm mechanism, including sending alarm information to the administrator, recording abnormal events to the log system, triggering emergency processing procedures, etc.; provide abnormal location and diagnosis functions to help administrators quickly locate the cause of the problem and take corresponding measures to repair it.

[0053] Using a source-grid-load-storage-saving-land coordinated control system for new energy consumption in this embodiment, the data processing module 101 can collect monitoring data from multiple data sources such as power grids, power stations, and energy storage equipment in real time, and perform efficient preprocessing to provide accurate and reliable data basis for subsequent modules. The model optimization unit 108 uses rich historical monitoring data to deeply optimize the prediction model, significantly improves the prediction accuracy of the model, and provides more accurate prediction support for the real-time calculation module 103. The data verification and correction unit 109 strictly verifies the real-time monitoring data according to the preset data range and rules, effectively identifies and corrects abnormal data, ensures the accuracy and reliability of the data, and provides a strong guarantee for the stable operation of the system. Based on the verified monitoring data and the optimized prediction model, the real-time calculation module 103 can quickly generate a power generation plan and a power transmission plan that meet the load demand and maximize the consumption of new energy, thereby improving the flexibility and response speed of the power grid. The regional deviation module 104 accurately calculates the deviation power by comparing the real-time monitoring data and the power generation / transmission plan, and the power correction module 105 corrects the power transmission plan in real time according to the deviation power, effectively maintaining the stability and balance of the power grid. The provincial control module 106 integrates the power generation plan, power transmission plan, revised power transmission plan, optimized prediction model and verified monitoring data to formulate collaborative control instructions, realize the effective coordination of power generation and transmission activities in different regions, and promote the effective absorption of new energy and the stable operation of the power grid. The dispatching module 107 intelligently dispatches energy storage equipment and multiple flexible resources, such as electric vehicles and demand response, according to the collaborative control instructions, effectively balances the supply and demand of the power grid, improves the absorption capacity of new energy, and maintains the stability and reliability of the power grid. The monitoring unit 110 records the operation log of the module in real time, monitors the operation status and performance of the module, and automatically triggers the alarm mechanism when an abnormality or failure occurs, providing comprehensive monitoring and exception handling functions, ensuring the stable operation of the module and timely fault response. By optimizing the prediction model and receiving real-time monitoring data for verification and correction, the accuracy of the prediction of future data is improved, providing a more reliable basis for formulating power generation plans and power transmission plans, formulating control strategies more accurately, and improving the absorption capacity of new energy and the stability of the power grid.

[0054] The second embodiment of the present application is:

[0055] Based on the first embodiment, please refer to Figure 3 ,in, Figure 3 It is a principle block diagram of the data processing module 101 and the real-time calculation module 103 according to the second embodiment of the present invention.

[0056] The real-time computing module 103 of this embodiment includes a storage unit 201 , a processing unit 202 and a computing unit 203 , and the data processing unit 202 includes an access unit 204 , a collection unit 205 and a pre-processing unit 206 .

[0057] According to this specific implementation, the storage unit 201 is connected to the model optimization unit 108 and the data verification and correction unit 109 respectively, and the processing unit 202 is connected to the storage unit 201;

[0058] The storage unit 201 is used to receive data from the model optimization unit 108 and the data verification and correction unit 109, and store the data in an internal memory;

[0059] The processing unit 202 is used to process and analyze the stored data, including filtering, denoising and normalization.

[0060] The storage unit 201 receives in real time the optimized prediction model parameters, training data, training results, etc. output by the model optimization unit 108, as well as the verification rules, abnormal data, corrected monitoring data, etc. output by the data verification and correction unit 109, and stores the received data in an internal memory according to a preset format and storage strategy to ensure the integrity, security and accessibility of the data for subsequent processing and analysis, and regularly backs up the stored data to prevent data loss or damage. When necessary, the backup data can be quickly restored to ensure the continuous operation of the system. The processing unit 202 reads the data to be processed from the storage unit 201, including model optimization data, verified and corrected monitoring data, etc., performs filtering processing on the read data, removes high-frequency noise and interference signals, improves the smoothness and accuracy of the data, performs denoising processing, identifies and eliminates outliers and noise in the data, ensures the authenticity and reliability of the data, normalizes the data, converts the data to a uniform scale for subsequent analysis and comparison, conducts in-depth analysis on the processed data, extracts useful information and features, and provides support for decision-making and optimization of the system, including statistical analysis, trend analysis, correlation analysis, etc., and outputs the processed and analyzed data to other modules for subsequent use.

[0061] Wherein, the calculation unit 203 is connected to the processing unit 202;

[0062] The computing unit 203 includes multiple processors and memories, receives the data transmitted by the processing unit 202, performs calculations and generates results, including generating a power generation plan and a power transmission plan.

[0063] The calculation unit 203 calculates and generates the optimal power generation plan based on the power generation forecast data of new energy, the load demand of the power grid, the status of the energy storage system and other information, and calculates and generates the optimal power transmission plan based on the power generation plan, the topological structure of the power grid and the transmission capacity of the transmission line and other information. The calculation unit 203 has real-time computing capabilities so that it can quickly adjust the power generation plan and power transmission plan when the operating status of the power grid changes. It also communicates with the power grid control system in real time to receive real-time data and instructions from the power grid and make corresponding responses.

[0064] Secondly, the collection unit 205 is connected to the access unit 204;

[0065] The access unit 204 is used to support multiple data formats and transmission protocols and access various data sources, including sensors, databases and networks;

[0066] The acquisition unit 205 is used to acquire data from a data source and convert the data into a format suitable for subsequent processing.

[0067] The access unit 204 identifies and processes a variety of data formats, such as CSV, JSON, XML, etc., as well as custom data formats, ensuring that no matter what format the data source adopts, the access unit 204 can accurately receive and parse data, and supports a variety of transmission protocols, such as HTTP, FTP, MQTT, CoAP, etc., to meet the data transmission requirements of different data sources, access to various data sources, including but not limited to sensors, such as temperature sensors, humidity sensors, etc., databases, such as relational databases, non-relational databases, etc. and networks, such as local area networks, wide area networks, etc., to ensure that the system can comprehensively collect data from different channels. The acquisition unit 205 establishes a connection with the data source through the access unit 204, and collects data from the data source in real time or regularly, including physical quantities such as temperature, humidity, pressure, current, voltage, and text, images, videos, etc. from the database or network, and converts the collected data into a format suitable for subsequent processing.

[0068] At the same time, the preprocessing unit 206 is connected to the acquisition unit 205, the model optimization unit 108 and the data verification and correction unit 109 respectively;

[0069] The pre-processing unit 206 is used to clean, convert and normalize the collected data.

[0070] The preprocessing unit 206 checks for missing values, abnormal values, duplicate values ​​and other problems in the data, and takes corresponding measures to deal with them. For example, for missing values, fill them in, such as using the mean, median, mode and other filling or deletion strategies; for abnormal values, retain, delete or replace strategies; for duplicate values, directly delete them, handle inconsistency problems in the data, such as inconsistent formats, inconsistent units, etc., ensure the consistency and comparability of the data, perform necessary conversions on the data to meet the needs of subsequent analysis, and also scale the data to convert the data into values ​​within a specific range to eliminate dimensional differences and numerical differences between different features, and convert the data to the same scale or range for subsequent analysis and comparison.

[0071] Using a source-grid-load-storage-saving-land coordinated control system for new energy consumption in this embodiment, the preprocessing unit 206 cleans, converts and normalizes the collected data, effectively solves the problems of data missing, abnormal, repetitive and inconsistent, improves the quality and accuracy of the data, and is conducive to the data verification and correction unit 109 to further verify and correct the data, ensuring the authenticity and reliability of the data. The storage unit 201 can receive and store data from the model optimization unit 108 and the data verification and correction unit 109 in real time, and store them according to the preset format and storage strategy, ensuring the integrity and security of the data, regularly backing up the stored data, effectively preventing data loss or damage, and ensuring the continuous operation of the system. The processing unit 202 filters, denoises and normalizes the stored data, improves the smoothness and accuracy of the data, deeply analyzes the data, extracts useful information and features, provides strong support for the decision-making and optimization of the system, formulates control strategies more accurately, and improves the consumption capacity of new energy and the stability of the power grid.

[0072] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A source-grid-load-storage-saving-land coordinated control system for new energy consumption, characterized in that: It includes a data processing module, a verification module, a real-time calculation module, a regional deviation module, a power correction module, a provincial and local regulation module and a scheduling module, wherein the verification module is respectively connected to the data processing module and the provincial and local regulation module, and the real-time calculation module is respectively connected to the verification module and the provincial and local regulation module; the regional deviation module is respectively connected to the real-time calculation module and the verification module, the power correction module is connected to the regional deviation module, the provincial and local regulation module is connected to the power correction module, and the scheduling module is connected to the provincial and local regulation module; The data processing module is used to collect real-time monitoring data and perform preprocessing; The verification module is used to receive historical monitoring data and real-time monitoring data, optimize the prediction model, and verify and correct the real-time monitoring data; The real-time calculation module is used to receive the verified monitoring data, perform calculations, and generate a power generation plan and a power transmission plan; The regional deviation module is used to receive the real-time power generation plan and power transmission plan, as well as the verified real-time monitoring data, and calculate the deviation power; The power correction module is used to receive the deviation power and correct the power transmission plan according to the deviation power; The provincial and local control module is used to receive the power generation plan and the power transmission plan, as well as the revised power transmission plan, the optimized prediction model and the verified monitoring data, and formulate the coordinated control instructions based on this information; The dispatching module is used to receive coordinated control instructions and dispatch energy storage and multiple flexibility resources according to the instructions.

2. The source-grid-load-storage-land-saving coordinated control system for new energy consumption according to claim 1 is characterized in that: The verification module includes a model optimization unit and a data verification correction unit, the model optimization unit is connected to the data processing module, and the data verification correction unit is connected to the data processing module; The model optimization unit is used to optimize the prediction model using historical monitoring data; The data verification and correction unit is used to verify the monitoring data according to the preset data range and rules, and identify and correct abnormal data.

3. The source-grid-load-storage-land-saving coordinated control system for new energy consumption according to claim 2 is characterized in that: The verification module also includes a monitoring unit, which is connected to the model optimization unit and the data verification and correction unit respectively; The monitoring unit records the module's operation log in real time, including key information during data processing, model optimization and data verification, and monitors the module's operating status and performance in real time, automatically triggering an alarm mechanism when an abnormality or failure occurs.

4. The source-grid-load-storage-land-saving coordinated control system for new energy consumption according to claim 2 is characterized in that: The real-time calculation module includes a storage unit and a processing unit, the storage unit is connected to the model optimization unit and the data verification and correction unit respectively, and the processing unit is connected to the storage unit; The storage unit is used to receive the data from the model optimization unit and the data verification and correction unit, and store the data in an internal memory; The processing unit is used to process and analyze the stored data, including filtering, denoising and normalization.

5. The source-grid-load-storage-land-saving coordinated control system for new energy consumption according to claim 4 is characterized in that: The real-time calculation module further includes a calculation unit, and the calculation unit is connected to the processing unit; The computing unit includes multiple processors and memory, receives data transmitted by the processing unit, performs calculations and generates results, including generating a power generation plan and a power transmission plan.

6. The source-grid-load-storage-land-saving coordinated control system for new energy consumption according to claim 1 is characterized in that: The data processing unit includes an access unit and a collection unit, and the collection unit is connected to the access unit; The access unit is used to support multiple data formats and transmission protocols and access various data sources, including sensors, databases and networks; The acquisition unit is used to acquire data from a data source and convert the data into a format suitable for subsequent processing.

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