Regional energy agent economic dispatching optimization system considering carbon emission cost

Abstract

The invention discloses a regional energy agent economic dispatch optimization system considering carbon emission cost, which belongs to the technical field of economic dispatch optimization, and comprises a data acquisition module, a data module, an electric quantity storage module, a dispatch optimization module, a result output module and a cloud server, the data acquisition module is used for acquiring sample data, equipment operation data and historical data corresponding to influence factors influencing the power consumption demand, and the sample data comprises power consumption time period feature data and user population data; the operation state information comprises a current moment, a weather feature vector, an energy storage equipment charge amount, a current load power, a generation power and a current electricity price, the historical data is energy storage scheduling previous data, and a charging and discharging energy storage scheduling target model is constructed according to energy storage related parameters of the virtual power plant. According to the regional energy agent economic dispatching optimization system considering the carbon emission cost, data can be obtained, economic dispatching optimization can be better carried out, and the carbon emission cost is really considered.

Description

Technical Field

[0001] The present invention belongs to the technical field of economic dispatch optimization, and in particular to a regional energy intelligent economic dispatch optimization system considering carbon emission costs. Background Art

[0002] With the vigorous development of the power system, more and more energy units have shown a trend towards intelligent development, and through the combination of various energy forms, the output mode of the power market has been further enriched. At present, in the new regional energy intelligent body with multiple stations integrating new energy power stations, renewable energy electricity can replace part of the thermal power output of the upper power grid, thereby reducing the carbon emissions of the upper power grid. However, based on the continuous and stable supply of energy, an energy economic dispatch optimization system is needed. The traditional economic dispatch optimization system is not based on previous data for calculation, which affects the precision and accuracy of the calculation.

[0003] After searching, the Chinese patent document (application publication number CN118117747A) discloses a regional energy intelligent economic dispatch optimization system considering carbon emission costs, including: a centralized controller, and a data collector and a dispatch distributor respectively arranged at each device in the regional energy intelligent body; the data collector is used to collect the operation data of the corresponding device in each optimization cycle; the centralized controller uses a solver to solve the operation optimization model substituted with the operation data, and obtains the economic dispatch optimization result of the corresponding optimization cycle; it is also used to send the dispatch optimization information belonging to each device in the economic dispatch optimization result to the corresponding dispatch distributor; the dispatch distributor sends the received dispatch optimization information to the corresponding device, and controls the corresponding device to perform the dispatch of the next optimization cycle based on the dispatch optimization information. The economic dispatch optimization system does not perform calculations based on previous data, which affects the precision and accuracy of the calculations. Summary of the invention

[0004] The purpose of the present invention is to provide a regional energy intelligent economic dispatch optimization system taking into account carbon emission costs to solve the problems raised in the background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A regional energy intelligent economic dispatch optimization system considering carbon emission costs includes a data acquisition module, a data module, an electricity storage module, a dispatch optimization module, a result output module and a cloud server, wherein the data acquisition module is used to obtain sample data, equipment operation data and historical data corresponding to factors affecting electricity demand.

[0006] As a preferred implementation scheme, the sample data includes characteristic data of power consumption period and user population data; The operating status information includes the current time, weather characteristic vector, energy storage device charge, current load power, generated power and current electricity price.

[0007] As a preferred implementation scheme, the historical data is the past data of energy storage scheduling, and a charging and discharging energy storage scheduling target model is constructed according to the energy storage related parameters of the virtual power plant; the charging and discharging energy storage scheduling target model is solved to obtain the optimal decision for charging and discharging energy storage scheduling; As a preferred implementation scheme, the data module includes a communication unit, a data acquisition unit, a data processing unit, a data display unit, a data storage unit, a data query unit, a remote control command unit, a scheduling strategy unit, an event and alarm unit, a user management unit and a user report unit.

[0008] As a preferred embodiment, the data query unit is used to query the data acquired by the data acquisition module, especially the historical data.

[0009] As a preferred embodiment, the user report unit is used to classify and process the data of the data acquisition module, and display and store it in the form of reports; Reports include fixed reports and custom reports; Fixed reports include annual reports, monthly reports, and daily reports; Custom reports are reports that customize the query period based on user needs.

[0010] As a preferred implementation, the power storage module is used to store electrical energy and can display the amount of stored electrical energy to facilitate subsequent energy scheduling and optimization.

[0011] As a preferred implementation scheme, the scheduling optimization module is used to perform energy scheduling optimization based on the data of the data acquisition module, the data module, and the power storage module, and to design a scheduling optimization model based on this.

[0012] As a preferred implementation scheme, the result output module is used to calculate the target energy dispatch component of the target time period corresponding to each target power data sequence as the energy dispatch amount for the power grid to dispatch power to the park during the target time period.

[0013] As a preferred implementation scheme, the cloud server is data-connected with the data acquisition module, data module, power storage module, scheduling optimization module, and result output module, and transmits the data to the cloud. The cloud server is also data-connected with the smart device and transmits the stored data to the smart device, which is set to be a mobile phone or a computer.

[0014] Compared with the prior art, the technical effects and advantages of the present invention are as follows: The regional energy intelligent economic dispatch optimization system considering carbon emission costs can obtain sample data in real time through the set data acquisition module, thereby enriching the samples. The expression of the operating status information can also show the existing energy situation, so as to better understand the loss of energy transmission and other measures, and better understand the energy transmission cost. The data of both parties plus the historical data of previous years are comprehensively evaluated, which can better optimize economic dispatch and realize the real consideration of carbon emission costs. The data module of the regional energy intelligent economic dispatch optimization system considering carbon emission costs can realize multiple data requirements, meet different usage needs, and improve the convenience of use; The regional energy intelligent economic dispatch optimization system considering carbon emission costs can obtain data, better perform economic dispatch optimization, and truly consider carbon emission costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 It is a framework diagram of the present invention. DETAILED DESCRIPTION

[0016] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features well known in the art are not described.

[0017] Example 1

[0018] See also Figure 1 , a regional energy intelligent economic scheduling optimization system considering carbon emission costs. This embodiment includes a data acquisition module, a data module, a power storage module, a scheduling optimization module, a result output module and a cloud server. It can also include other modules that need to be used, which are not described in detail in this application.

[0019] The data acquisition module is used to obtain sample data, equipment operation data and historical data corresponding to the factors affecting electricity demand.

[0020] The sample data includes characteristic data of electricity consumption period, user population data, and may also include data of other electricity consumption samples; The operating status information includes the current time, weather characteristic vector, energy storage device charge, current load power, power generation power and current electricity price, especially including weather temperature and humidity, and the natural loss rate of energy.

[0021] The historical data is the past data of energy storage scheduling. The charging and discharging energy storage scheduling target model is constructed according to the energy storage related parameters of the virtual power plant. The charging and discharging energy storage scheduling target model is solved to obtain the optimal decision for charging and discharging energy storage scheduling. The data module includes a communication unit, a data acquisition unit, a data processing unit, a data display unit, a data storage unit, a data query unit, a remote control command unit, a scheduling strategy unit, an event and alarm unit, a user management unit and a user report unit.

[0022] The data query unit is used to query the data acquired by the data acquisition module, especially historical data, and can also query other data.

[0023] The user report unit is used to classify and process the data of the data acquisition module, and display and store it in the form of reports, so that customers, especially key users, can understand the data. Timely reports represent clear and transparent data, and truly consider the carbon emission cost; Reports include fixed reports and custom reports; Fixed reports include annual reports, monthly reports, and daily reports; Custom reports are reports that customize the query period based on user needs.

[0024] The energy storage module is used to store electrical energy and can display the stored electrical energy, which is convenient for subsequent energy scheduling and optimization.

[0025] The scheduling optimization module is used to optimize energy scheduling based on the data from the data acquisition module, data module, and power storage module, and to design a scheduling optimization model based on this. The scheduling optimization model is optimized and updated regularly, and adjusted according to the month and weather to ensure the accuracy of scheduling and truly consider carbon emission costs.

[0026] The result output module is used to calculate the target energy dispatching component of the target period corresponding to each target power data sequence as the energy dispatching amount for the power grid to dispatch power to the park during the target period.

[0027] The cloud server is connected to the data acquisition module, the data module, the power storage module, the scheduling optimization module, and the result output module, and transmits the data to the cloud. The cloud server is also connected to the smart device and transmits the stored data to the smart device, which is set to be a mobile phone or a computer.

[0028] Example 2

[0029] See also Figure 1, a regional energy intelligent economic scheduling optimization system considering carbon emission costs. This embodiment includes a data acquisition module, a data module, a power storage module, a scheduling optimization module, a result output module, and may also include other modules that need to be used, which are not described in detail in this application.

[0030] The data acquisition module is used to obtain sample data, equipment operation data and historical data corresponding to the factors affecting electricity demand.

[0031] The sample data includes characteristic data of electricity consumption period, user population data, and may also include data of other electricity consumption samples; The operating status information includes the current time, weather characteristic vector, energy storage device charge, current load power, power generation power and current electricity price, especially including weather temperature and humidity, and the natural loss rate of energy.

[0032] The historical data is the past data of energy storage scheduling. The charging and discharging energy storage scheduling target model is constructed according to the energy storage related parameters of the virtual power plant. The charging and discharging energy storage scheduling target model is solved to obtain the optimal decision for charging and discharging energy storage scheduling. The data module includes a communication unit, a data acquisition unit, a data processing unit, a data display unit, a data storage unit, a data query unit, a remote control command unit, a scheduling strategy unit, an event and alarm unit, a user management unit and a user report unit.

[0033] The data query unit is used to query the data acquired by the data acquisition module, especially historical data, and can also query other data.

[0034] The user report unit is used to classify and process the data of the data acquisition module, and display and store it in the form of reports, so that customers, especially key users, can understand the data. Timely reports represent clear and transparent data, and truly consider the carbon emission cost; Reports include fixed reports and custom reports; Fixed reports include annual reports, monthly reports, and daily reports; Custom reports are reports that customize the query period based on user needs.

[0035] The energy storage module is used to store electrical energy and can display the stored electrical energy, which is convenient for subsequent energy scheduling and optimization.

[0036] The scheduling optimization module is used to optimize energy scheduling based on the data from the data acquisition module, data module, and power storage module, and to design a scheduling optimization model based on this. The scheduling optimization model is optimized and updated regularly, and adjusted according to the month and weather to ensure the accuracy of scheduling and truly consider carbon emission costs.

[0037] Comprehensively comparing multiple experiments, Example 1 and Example 2 are compared. Example 1 is more comprehensive, and Example 2 is more convenient and simple.

[0038] Example 3

[0039] Based on the same inventive concept, an embodiment of the present invention further provides a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, the operation steps of the regional energy intelligent economic dispatch optimization system considering carbon emission costs described in any one of Embodiments 1 or 2 are implemented.

[0040] Example 4

[0041] Based on the same inventive concept, an embodiment of the present invention also provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the operating steps of any one of the regional energy intelligent economic scheduling optimization systems considering carbon emission costs described in Embodiment 1 or 2 are implemented.

[0042] It should be noted that, in this document, relational terms such as one and two are merely used to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any actual relationship or order between these entities or operations.

[0043] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0044] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0045] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0046] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0047] Finally, it should be noted that: Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A regional energy intelligent economic dispatch optimization system considering carbon emission costs, including a data acquisition module, characterized in that: It also includes a data module, a power storage module, a scheduling optimization module, a result output module and a cloud server, wherein the data acquisition module is used to obtain sample data, equipment operation data and historical data corresponding to the factors affecting the power demand.

2. According to claim 1, a regional energy intelligent economic dispatch optimization system considering carbon emission costs is characterized by: The sample data includes electricity consumption period characteristic data and user population data; The operating status information includes the current time, weather characteristic vector, energy storage device charge, current load power, generated power and current electricity price.

3. According to claim 1, a regional energy intelligent economic dispatch optimization system considering carbon emission costs is characterized by: The historical data is past data of energy storage scheduling. A charging and discharging energy storage scheduling target model is constructed according to the energy storage-related parameters of the virtual power plant; the charging and discharging energy storage scheduling target model is solved to obtain the optimal decision for charging and discharging energy storage scheduling.

4. According to claim 1, a regional energy intelligent economic dispatch optimization system considering carbon emission costs is characterized by: The data module includes a communication unit, a data acquisition unit, a data processing unit, a data display unit, a data storage unit, a data query unit, a remote control command unit, a scheduling strategy unit, an event and alarm unit, a user management unit and a user report unit.

5. According to claim 4, a regional energy intelligent economic dispatch optimization system considering carbon emission costs is characterized by: The data query unit is used to query the data acquired by the data acquisition module, especially the historical data.

6. According to claim 4, a regional energy intelligent economic dispatch optimization system considering carbon emission costs is characterized by: The user report unit is used to classify and process the data of the data acquisition module, and display and store it in the form of reports; The reports include fixed reports and custom reports; The fixed reports include annual reports, monthly reports, and daily reports; The custom report is a report for a custom query period based on user needs.

7. According to claim 1, a regional energy intelligent economic dispatch optimization system considering carbon emission costs is characterized by: The power storage module is used to store electric energy and can display the stored electric energy, which is convenient for subsequent energy scheduling and optimization.

8. According to claim 1, a regional energy intelligent economic dispatch optimization system considering carbon emission costs is characterized by: The scheduling optimization module is used to perform energy scheduling optimization based on the data of the data acquisition module, the data module, and the power storage module, and to design a scheduling optimization model based on this.

9. The regional energy intelligent economic dispatch optimization system considering carbon emission costs according to claim 1 is characterized by: The result output module is used to calculate the target energy dispatching component of the target time period corresponding to each target power data sequence as the energy dispatching amount for the power grid to dispatch power to the park during the target time period.

10. The regional energy intelligent economic dispatch optimization system considering carbon emission costs according to claim 1 is characterized in that: The cloud server is connected to the data acquisition module, the data module, the power storage module, the scheduling optimization module, and the result output module, and transmits the data to the cloud. The cloud server is also connected to the smart device and transmits the stored data. The smart device is set to be a mobile phone or a computer.

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