Power plant electricity consumption intelligent management method, system, equipment and medium
By collecting and analyzing data on power plant power equipment, and combining the importance of target tasks and time sensitivity to adjust power plant power consumption, the problem of difficult to reasonably adjust power consumption during peak and low periods of electricity consumption is achieved, and the Efficient energy management and cost reduction.
Patent Information
- Application Number
- CN202411458734.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-18
- Publication Date
- 2025-02-11
AI Technical Summary
It is difficult for power plants to reasonably predict and adjust electricity consumption, especially during peak and low periods of electricity consumption, which leads to unreasonable equipment operation and increases production and management costs.
Data from electricity use sensors are collected, the electricity consumption of the target task is counted and disassembled, and the importance weight and time sensitivity of the target task are determined. Based on these data analysis and adjustment of adjustable target tasks to reasonably control electricity consumption quantity.
It has achieved reasonable adjustment of power plant power consumption during peak and low periods of electricity consumption, improved energy efficiency, and reduced production and management costs.
Smart Images
Figure CN119417125A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of power plant management technology, and in particular to a method, system, equipment and medium for intelligent management of power consumption in a power plant. Background Art
[0002] With the deepening of my country's economic structural transformation and the deepening of power system reform, power plants, as the cornerstone of the power generation industry, need to achieve intelligent management, improve the response speed and accuracy required by market operations, save energy and reduce consumption, reduce production costs and management costs, and win the greatest "profit" for power plants to achieve the purpose of improving competitiveness and improving their own survival ability. After years of hard work, power generation companies have also achieved informationization and even digitalization transformation to a certain extent.
[0003] The load of the power plant grid is closely related to the market electricity consumption, and the peak and valley electricity consumption are also consistent with the market electricity consumption. In the short term, the peak electricity consumption period is mainly concentrated in the morning before work and in the evening after get off work. In the long term, it is concentrated in winter and summer. At this time, the grid load is huge, and the grid needs to bear additional pressure higher than the average load; while in the late night and spring and autumn, it is the valley period of electricity consumption, and the grid load is lower than the average load.
[0004] Therefore, power plants need to reasonably plan their own power consumption according to the actual situation of power consumption in the market. Although on the surface, increasing the power consumption of power plants only requires increasing the operating time of various equipment, and reducing the power consumption of power plants requires reducing the operating time of various equipment, however, the underlying logic of equipment operation is due to the needs of various business activities. Whether a certain equipment is running within a certain period of time depends on whether the business activities require the equipment to complete a certain task. Therefore, it is difficult to reasonably predict how to change the power consumption and power consumption time of various equipment in the power plant in a certain period of time in the future by simply analyzing the power consumption of power plant equipment. Summary of the invention
[0005] In order to solve the above problems, the present invention proposes a method, system, equipment and medium for intelligent management of power consumption in a power plant, which can reasonably utilize peak and trough periods of power consumption and reasonably determine the power consumption of the power plant within a predetermined time in the future.
[0006] The technical solution adopted by the present invention is as follows:
[0007] In a first aspect, the present invention provides a method for intelligent management of power consumption in a power plant, comprising:
[0008] The power consumption data of each power-consuming device in the power plant within a predetermined time period is collected through the power sensor, and then the power consumption of the power-consuming device within the predetermined time period is calculated;
[0009] Count the types of target tasks of the power plant, disassemble the target task execution process, obtain the power-consuming equipment, time period and usage duration used in the target task execution process, and then calculate the power consumption of the target task;
[0010] Determine the importance weight and time sensitivity of the target task, calculate the power consumption score of the target task based on the importance weight of the target task, and only use the target tasks whose time sensitivity is lower than the threshold as adjustable target tasks;
[0011] When the power plant expects power consumption to fluctuate and the available power will decrease in a certain period of time in the future, based on the current data analysis, the adjustable target tasks will be reduced in sequence from low to high according to the power consumption score value, until the power consumption of each power-consuming equipment in the predetermined time period is equal to the available power in a certain period of time in the future. The target tasks after the reduction will be used as the target tasks of the power plant in a certain period of time in the future.
[0012] Further, the calculating the power consumption score value of the target task based on the importance weight of the target task includes: multiplying the importance weight of the target task by the power consumption of the target task, thereby obtaining the power consumption score value of the target task.
[0013] Furthermore, based on the current data analysis, the adjustable target tasks are reduced in sequence from low to high according to the electricity consumption score values, including: splitting the time periods of the power-consuming equipment used in the execution process of the collected target tasks, selecting some target task execution processes whose time periods are in a certain future period of time, screening out the adjustable target tasks in the execution process of this part of the target tasks, and then reducing the screened adjustable target tasks in sequence from low to high according to the electricity consumption score values.
[0014] Furthermore, the types of target tasks include: power generation equipment management tasks, power generation operation management tasks, plant safety management tasks, plant inspection management tasks, employee work ticket operation management tasks, warehousing management tasks and training management tasks; among them, target tasks with time sensitivity lower than the threshold include: plant inspection management tasks, employee work ticket operation management tasks, warehousing management tasks and training management tasks.
[0015] In a second aspect, the present invention provides a smart management system for power plant power consumption, comprising:
[0016] The power consumption statistics module of the power-consuming equipment is configured to collect the power consumption related data of each power-consuming equipment in the power plant within a predetermined time period through the power sensor, and then calculate the power consumption of the power-consuming equipment within the predetermined time period;
[0017] The target task power consumption statistics module is configured to count the types of target tasks of the power plant, disassemble the target task execution process, obtain the power-consuming equipment, time period and usage duration used in the target task execution process, and then calculate the power consumption of the target task;
[0018] a target task electricity consumption score value calculation module, configured to determine the importance weight and time sensitivity of the target task, calculate the electricity consumption score value of the target task based on the importance weight of the target task, and only use the target task whose time sensitivity is lower than a threshold as an adjustable target task;
[0019] The electricity consumption forecast management module is configured to reduce the adjustable target tasks in order from low to high according to the electricity consumption score value when the power plant predicts that the electricity consumption will fluctuate and the available electricity will decrease in a certain period of time in the future based on the current data analysis, until the electricity consumption of each power-consuming equipment in the predetermined time period is equal to the available electricity in a certain period of time in the future, and the target tasks after the reduction will be used as the target tasks of the power plant in a certain period of time in the future.
[0020] Furthermore, in the target task electricity consumption score value calculation module, the electricity consumption score value of the target task is calculated based on the importance weight of the target task, including: multiplying the importance weight of the target task by the electricity consumption of the target task to obtain the electricity consumption score value of the target task.
[0021] Furthermore, in the electricity consumption forecast management module, based on current data analysis, the adjustable target tasks are reduced in sequence from low to high according to the electricity consumption score values, including: splitting the time periods of the power-consuming equipment used in the execution of the collected target tasks, selecting the time period of some target task execution processes in a certain future period of time, screening out the adjustable target tasks in the execution of this part of the target tasks, and then reducing the screened adjustable target tasks in sequence from low to high according to the electricity consumption score values.
[0022] Furthermore, the types of target tasks include: power generation equipment management tasks, power generation operation management tasks, plant safety management tasks, plant inspection management tasks, employee work ticket operation management tasks, warehousing management tasks and training management tasks; among them, target tasks with time sensitivity lower than the threshold include: plant inspection management tasks, employee work ticket operation management tasks, warehousing management tasks and training management tasks.
[0023] In a third aspect, the present invention proposes a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the above-mentioned intelligent management method for power plant electricity consumption when executing the computer program.
[0024] In a fourth aspect, the present invention proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned intelligent management method for power plant electricity consumption.
[0025] The beneficial effects of the present invention are:
[0026] 1. The present invention can not only control the power consumption of the power plant in a certain period of time in the future by controlling the power consumption of the power equipment, but also can control the power consumption of multiple power equipment in the target task in combination with the power equipment required for each target task and the length of time the power equipment is used, so as to control the power consumption of the power plant in a certain period of time in the future. Compared with the existing method of only adjusting the power consumption of the power equipment, the present invention is more reasonable.
[0027] 2. The present invention sets an importance weight for each target task, and obtains the electricity consumption score of each target task based on the importance weight of the target task. It also determines the sensitivity of each target task to time, and only adjusts the target tasks with low time sensitivity. Through such a design, the electrical equipment that must be run can be effectively excluded from the scope of power consumption control, the target tasks that can be run or not can be run can be sorted by importance, and the power consumption of the electrical equipment corresponding to the target tasks can be controlled in sequence, effectively improving energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] Figure 1 This is a flow chart of a method for intelligent management of power consumption in a power plant according to embodiment 1 of the present invention. DETAILED DESCRIPTION
[0029] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation methods of the present invention are now described. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the embodiments described are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.
[0030] Example 1
[0031] Since power plants need to reasonably plan their own power consumption according to the actual situation of power consumption in the market, although on the surface, increasing the power consumption of power plants only requires increasing the operating time of various equipment, and reducing the power consumption of power plants requires reducing the operating time of various equipment, however, the underlying logic of equipment operation is due to the needs of various business activities. Whether a certain equipment is running within a certain period of time depends on whether the business activities require the equipment to complete a certain task. Therefore, it is difficult to reasonably predict how to change the power consumption and power consumption time of various equipment in the power plant in a certain period of time in the future by simply analyzing the power consumption of power plant equipment.
[0032] Based on this, this embodiment provides a method for intelligent management of power consumption in a power plant, such as Figure 1 As shown, including:
[0033] The power consumption data of each power-consuming device in the power plant within a predetermined time period is collected through the power sensor, and then the power consumption of the power-consuming device within the predetermined time period is calculated;
[0034] Count the types of target tasks of the power plant, disassemble the target task execution process, obtain the power-consuming equipment, time period and usage duration used in the target task execution process, and then calculate the power consumption of the target task;
[0035] Determine the importance weight and time sensitivity of the target task, calculate the power consumption score of the target task based on the importance weight of the target task, and only use the target tasks whose time sensitivity is lower than the threshold as adjustable target tasks;
[0036] When the power plant expects power consumption to fluctuate and the available power will decrease in a certain period of time in the future, based on the current data analysis, the adjustable target tasks will be reduced in sequence from low to high according to the power consumption score value, until the power consumption of each power-consuming equipment in the predetermined time period is equal to the available power in a certain period of time in the future. The target tasks after the reduction will be used as the target tasks of the power plant in a certain period of time in the future.
[0037] Preferably, power sensors can be installed on each power-consuming equipment in the power plant to realize real-time monitoring and data collection of power consumption in each link of the power plant; by establishing a real-time data monitoring system based on power sensors, the power consumption of the power plant can be monitored in real time, including the power consumption of each power-consuming equipment, power consumption peaks and valleys, and other information.
[0038] It should be noted that electrical equipment may include boiler feed pumps, blowers, induced draft fans, pulverizing equipment, coal transportation equipment, dust removal equipment, steam turbines, circulating water pumps, water treatment equipment, generator control equipment, power transmission and transformation equipment, communication control equipment, coal unloaders, etc.
[0039] Preferably, when calculating the electricity consumption score of the target task, the importance weight of the target task can be multiplied by the electricity consumption of the target task to obtain the electricity consumption score of the target task. The specific setting of the importance weight can be formulated by the power plant manager as needed, and the weight size can float.
[0040] Preferably, the time sensitivity of the target task refers to whether there is a time limit for the target task. For target tasks that must be completed within a predetermined time, the time sensitivity is high; for target tasks that only need to be completed but the completion time is not important, the time sensitivity is low.
[0041] Preferably, when reducing the adjustable target tasks in order from low to high according to the electricity consumption score values based on the current data analysis, it is specifically possible to split the time periods of the electrical equipment used in the execution of the collected target tasks, select the time periods of some target task execution processes in a certain future period, filter out the adjustable target tasks in this part of the target task execution process, and then reduce the filtered adjustable target tasks in order from low to high according to the electricity consumption score values.
[0042] It should be noted that the target tasks can be power generation equipment management, power generation operation management, plant area safety management, plant area inspection management, employee work ticket operation management, warehouse management, training management, and specific project management, etc. Generally speaking, power generation equipment management, power generation operation management, and plant area safety management are highly sensitive to time, while plant area inspection management, employee work ticket operation management, warehouse management, and training management are less sensitive to time. Specific project management determines its sensitivity to time based on the actual situation of the specific project.
[0043] Example 2
[0044] This embodiment provides a smart management system for power plant power consumption, including:
[0045] The power consumption statistics module of the power-consuming equipment is configured to collect the power consumption related data of each power-consuming equipment in the power plant within a predetermined time period through the power sensor, and then calculate the power consumption of the power-consuming equipment within the predetermined time period;
[0046] The target task power consumption statistics module is configured to count the types of target tasks of the power plant, disassemble the target task execution process, obtain the power-consuming equipment, time period and usage duration used in the target task execution process, and then calculate the power consumption of the target task;
[0047] a target task electricity consumption score value calculation module, configured to determine the importance weight and time sensitivity of the target task, calculate the electricity consumption score value of the target task based on the importance weight of the target task, and only use the target task whose time sensitivity is lower than a threshold as an adjustable target task;
[0048] The electricity consumption forecast management module is configured to reduce the adjustable target tasks in order from low to high according to the electricity consumption score value when the power plant predicts that the electricity consumption will fluctuate and the available electricity will decrease in a certain period of time in the future based on the current data analysis, until the electricity consumption of each power-consuming equipment in the predetermined time period is equal to the available electricity in a certain period of time in the future, and the target tasks after the reduction will be used as the target tasks of the power plant in a certain period of time in the future.
[0049] Preferably, in the target task electricity consumption score value calculation module, the electricity consumption score value of the target task is calculated based on the importance weight of the target task, including: multiplying the importance weight of the target task by the electricity consumption of the target task to obtain the electricity consumption score value of the target task.
[0050] Preferably, in the electricity consumption forecast management module, based on the current data analysis, the adjustable target tasks are reduced in sequence from low to high according to the electricity consumption score values, including: splitting the time periods of the power-consuming equipment used in the execution of the collected target tasks, selecting the time periods of some target task execution processes in a certain future period, screening out the adjustable target tasks in the execution of these target tasks, and then reducing the screened adjustable target tasks in sequence from low to high according to the electricity consumption score values.
[0051] Preferably, the types of target tasks include: power generation equipment management tasks, power generation operation management tasks, plant safety management tasks, plant inspection management tasks, employee work ticket operation management tasks, warehousing management tasks and training management tasks; among them, target tasks with time sensitivity lower than a threshold include: plant inspection management tasks, employee work ticket operation management tasks, warehousing management tasks and training management tasks.
[0052] Preferably, the power plant power consumption intelligent management system of this embodiment also includes a big data platform, which is used to store data obtained by the power consumption statistics module of the power equipment, the target task power consumption statistics module and the target task power consumption score value calculation module. When the power plant predicts that the power consumption will fluctuate and the available power will decrease in a certain period of time in the future, analysis is performed based on the data stored in the big data platform.
[0053] Example 3
[0054] This embodiment is based on embodiment 1:
[0055] This embodiment provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a method for intelligent management of power consumption of a power plant in embodiment 1 is implemented. The computer program may be in source code form, object code form, executable file, or some intermediate form.
[0056] Example 4
[0057] This embodiment is based on embodiment 1:
[0058] The present embodiment provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements a method for intelligent management of power consumption in a power plant of embodiment 1. The computer program may be in source code form, object code form, executable file, or some intermediate form, etc. The storage medium includes: any entity or device capable of carrying computer program code, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content contained in the storage medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the storage medium does not include electric carrier signals and telecommunication signals.
[0059] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.
Claims
1. A method for intelligent management of power consumption in a power plant, characterized in that: include: The power consumption data of each power-consuming device in the power plant within a predetermined time period is collected through the power sensor, and then the power consumption of the power-consuming device within the predetermined time period is calculated; Count the types of target tasks of the power plant, disassemble the target task execution process, obtain the power-consuming equipment, time period and usage duration used in the target task execution process, and then calculate the power consumption of the target task; Determine the importance weight and time sensitivity of the target task, calculate the power consumption score of the target task based on the importance weight of the target task, and only use the target tasks whose time sensitivity is lower than the threshold as adjustable target tasks; When the power plant expects power consumption to fluctuate and the available power will decrease in a certain period of time in the future, based on the current data analysis, the adjustable target tasks will be reduced in sequence from low to high according to the power consumption score value, until the power consumption of each power-consuming equipment in the predetermined time period is equal to the available power in a certain period of time in the future. The target tasks after the reduction will be used as the target tasks of the power plant in a certain period of time in the future.
2. A method for intelligent management of power consumption in a power plant according to claim 1, characterized in that: The calculating the power consumption score value of the target task based on the importance weight of the target task includes: multiplying the importance weight of the target task by the power consumption of the target task to obtain the power consumption score value of the target task.
3. The method for intelligent management of power consumption of a power plant according to claim 1, characterized in that: The method of reducing the adjustable target tasks in order from low to high according to the electricity consumption score values based on the current data analysis includes: splitting the time periods of the electrical equipment used in the execution of the collected target tasks, selecting the execution processes of some target tasks in the future, screening out the adjustable target tasks in the execution processes of these target tasks, and then reducing the screened adjustable target tasks in order from low to high according to the electricity consumption score values.
4. The method for intelligent management of power consumption of a power plant according to claim 1, characterized in that: The types of target tasks include: power generation equipment management tasks, power generation operation management tasks, plant safety management tasks, plant inspection management tasks, employee work ticket operation management tasks, warehouse management tasks and training management tasks; among them, target tasks with time sensitivity lower than the threshold include: plant inspection management tasks, employee work ticket operation management tasks, warehouse management tasks and training management tasks.
5. A smart management system for power plant electricity consumption, characterized in that: include: The power consumption statistics module of the power-consuming equipment is configured to collect the power consumption related data of each power-consuming equipment in the power plant within a predetermined time period through the power sensor, and then calculate the power consumption of the power-consuming equipment within the predetermined time period; The target task power consumption statistics module is configured to count the types of target tasks of the power plant, disassemble the target task execution process, obtain the power-consuming equipment, time period and usage duration used in the target task execution process, and then calculate the power consumption of the target task; a target task electricity consumption score value calculation module, configured to determine the importance weight and time sensitivity of the target task, calculate the electricity consumption score value of the target task based on the importance weight of the target task, and only use the target task whose time sensitivity is lower than a threshold as an adjustable target task; The electricity consumption forecast management module is configured to reduce the adjustable target tasks in order from low to high according to the electricity consumption score value when the power plant predicts that the electricity consumption will fluctuate and the available electricity will decrease in a certain period of time in the future based on the current data analysis, until the electricity consumption of each power-consuming equipment in the predetermined time period is equal to the available electricity in a certain period of time in the future, and the target tasks after the reduction will be used as the target tasks of the power plant in a certain period of time in the future.
6. The intelligent management system for power plant electricity consumption according to claim 5 is characterized in that: In the target task electricity consumption score value calculation module, the electricity consumption score value of the target task is calculated based on the importance weight of the target task, including: multiplying the importance weight of the target task by the electricity consumption of the target task to obtain the electricity consumption score value of the target task.
7. The intelligent management system for power plant electricity consumption according to claim 5 is characterized in that: In the electricity consumption forecast management module, based on the current data analysis, the adjustable target tasks are reduced in sequence from low to high according to the electricity consumption score values, including: splitting the time periods of the power-consuming equipment used in the execution of the collected target tasks, selecting the time periods of some target task execution processes in a certain future period of time, screening out the adjustable target tasks in the execution of these target tasks, and then reducing the screened adjustable target tasks in sequence from low to high according to the electricity consumption score values.
8. The intelligent management system for power plant electricity consumption according to claim 5 is characterized in that: The types of target tasks include: power generation equipment management tasks, power generation operation management tasks, plant safety management tasks, plant inspection management tasks, employee work ticket operation management tasks, warehouse management tasks and training management tasks; among them, target tasks with time sensitivity lower than the threshold include: plant inspection management tasks, employee work ticket operation management tasks, warehouse management tasks and training management tasks.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method for intelligent management of power consumption of a power plant as described in any one of claims 1-4 is implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for intelligent management of power consumption of a power plant as described in any one of claims 1 to 4 is implemented.