Cooperative power supply guarantee regulation and control system for high-energy-consumption enterprise

Abstract

The invention relates to a high-energy-consumption enterprise cooperative power supply guarantee regulation and control system. A data acquisition module can realize acquisition of information data and load data of adjustable and controllable equipment, a transmission module can be used for data transmission, and a preprocessing module can perform preprocessing operation on the data; a first modeling module is utilized to establish a regulation response model of the adjustable and controllable equipment based on the preprocessed data information, and meanwhile, a regulation rate calculation model of active cooperative power supply insurance of the high-energy-consumption enterprise is constructed; the second modeling module can construct a regulation and control capability upper and lower limit calculation model of active cooperative power supply insurance of enterprises in the high-energy-consumption industry based on a regulation and control response model of the adjustable and controllable equipment, and the calculation module can generate a day-ahead regulation and control plan; the regulation and control module can output a regulation and control instruction according to a day-ahead regulation and control plan, and the auxiliary optimization module can be matched with the function module to further optimize a power supply system, so that the working efficiency of a power grid dispatcher is improved; the device has the advantages of being convenient and efficient to use and safe and reasonable in design.

Description

Technical Field

[0001] The present invention belongs to the technical field of power control, and specifically relates to a collaborative power supply control system for high-energy-consuming enterprises. Background Art

[0002] For a long time, in terms of power supply security, although a lot of technical research and application have been carried out on both the power supply side and the grid side, with the continuous growth of power load and the continuous improvement of the penetration rate of new energy, the regional power grid has gradually shown new characteristics such as dual uncertainty of source and load, difficulty in balancing supply and demand during different periods of time, and increased peak-to-valley differences. The power supply and demand has gradually shifted from overall balance to overall tension, facing the overall situation of "tight balance of the entire network, local gaps, and difficult supply security". If extreme weather occurs or external electricity is less than expected, the power supply gap will further increase, and the power supply security faces multiple challenges; especially for industrial county power grids dominated by high-energy-consuming enterprises, they face the problems of source-load time-based supply and demand balance and power security. The supply problem is more prominent, and the participation of load resources in coordinated operation is urgently needed. At present, a large number of studies and applications on demand response, orderly power consumption, interruptible loads, etc. have been carried out in terms of the participation of load-side resources in coordinated operation. However, the load-side resources are still difficult to implement and users are not very enthusiastic. In particular, the seasonal power supply gap is becoming more and more prominent. Therefore, in order to correctly guide high-energy-consuming industries and enterprises to optimize peak-valley power consumption, solve the mismatch between the peak and valley periods of time-of-use electricity prices and the peak and valley periods of high-energy-consuming industries and enterprises, and dynamically adapt to the problem of power supply under the dual uncertainty of source and load, it is necessary to develop a high-energy-consuming enterprise collaborative power supply control system that is easy to use, efficient, safe and reasonably designed. Summary of the Invention

[0003] The purpose of the present invention is to overcome the shortcomings of the existing technology and provide a high-energy-consuming enterprise collaborative power supply control system that is easy to use, efficient, safe and reasonably designed.

[0004] The object of the present invention is achieved as follows: A high-energy-consuming enterprise collaborative power supply control system includes a data acquisition module, a transmission module, a preprocessing module, a first modeling module, a second modeling module, a calculation module and a control module, wherein: Data collection module: used to collect information data of adjustable devices within the enterprise and actual power consumption data of adjustable devices; Transmission module: used to transmit the data information collected by the data acquisition module; Preprocessing module: used to preprocess data information, filter out abnormal data and error information generated by transition states when the operation mode changes, fill in missing values ​​and normalize the data; The first modeling module: Based on pre-processed data information, the flexible and rigid controllable characteristics of the loads of high-energy-consuming enterprises are analyzed, taking into account the production patterns of high-energy-consuming enterprises and the operating patterns and controllability of controllable equipment. After the analysis is completed, a control response model for the controllable equipment within high-energy-consuming enterprises is established using a combination of data-driven and mechanism modeling methods. Then, based on the control response model of the controllable equipment, a control rate calculation model for high-energy-consuming enterprises to actively coordinate power supply is constructed during the real-time operation phase of the day, combined with the real-time operating conditions of the equipment. The second modeling module: Based on the control response model of controllable equipment, a day-ahead time-sharing coordination schedule is created for high-energy-consuming enterprises. Then, based on this day-ahead time-sharing coordination schedule, during the real-time operation phase within the day, combined with the actual electricity usage conditions of the enterprises, a method combining mechanism analysis and real-time data is used to construct a calculation model for the upper and lower limits of the control capability of high-energy-consuming enterprises to proactively coordinate power supply. Calculation module: This module obtains the day-ahead power data of the power grid based on pre-acquired historical operating data and prediction algorithms. It then derives the day-ahead control plan based on the actual production and operation status of high-energy-consuming enterprises, the control rate calculation model for power supply security, and the upper and lower limit calculation model for power supply security control capacity. Control module: Outputs control instructions based on the day-ahead control plan, provides resource control target settings that can be manually adjusted, and provides external collaborative control instruction call services; Auxiliary optimization module: used to cooperate with the main functional modules to further optimize the power supply system and improve the work efficiency of power grid dispatchers.

[0005] Furthermore, the preprocessing module is internally provided with a filtering unit, a processing unit and a label integration unit, wherein the filtering unit can filter the data, thereby filtering out abnormal data and error information generated by the transition state when the operating mode changes; the processing unit can fill in missing values ​​and normalize the data, thereby ensuring the accuracy and consistency of the data; the label integration unit can label the adjustable devices in sequence according to the information data of the adjustable devices, and after the labeling is completed, classify the actual power consumption data according to the label, so that the adjustable devices and their actual power consumption data information correspond one to one, thereby forming multiple classified data packets.

[0006] Furthermore, the transmission module is externally connected to a data storage module, and the transmitted data information is stored and backed up through the data storage module.

[0007] Furthermore, an emergency control unit is provided inside the calculation module, and the emergency control unit can generate an emergency control plan and control the control module to issue an emergency control instruction.

[0008] Furthermore, a classification unit is provided inside the calculation module, and the classification unit can classify each power load line according to the importance level.

[0009] Furthermore, an instruction storage unit is provided inside the control module, and the instruction storage unit is used to store and back up the control instructions and manual adjustment records.

[0010] Beneficial effects of the present invention: The present invention provides a data acquisition module, a transmission module, and a preprocessing module. The data acquisition module can be used to collect information data and load data of controllable equipment. The transmission module can be used to transmit data. The preprocessing module can filter out abnormal data and error information generated by the transition state when the operating mode changes, fill in missing values, and normalize the data. By setting a first modeling module, a second modeling module and a calculation module, the first modeling module can be used to analyze the flexible adjustable characteristics and rigid controllable characteristics of the load of high-energy-consuming enterprises based on pre-processed data information, and establish a control response model of the controllable equipment within the high-energy-consuming enterprises. Thereafter, based on the control response model of the controllable equipment and combined with the real-time operating conditions of the equipment, a control rate calculation model for the active coordination of power supply for high-energy-consuming enterprises is constructed; the second modeling module can be used to prepare a day-ahead time-sharing coordination schedule for high-energy-consuming enterprises based on the control response model of the controllable equipment, and thereafter, based on the day-ahead time-sharing coordination schedule for high-energy-consuming enterprises, in the real-time operation stage within the day, combined with the actual power consumption conditions of the enterprises, a control capacity upper and lower limit calculation model for the active coordination of power supply for high-energy-consuming industry enterprises is constructed; the calculation module can be used to obtain the day-ahead power data of the power grid based on pre-acquired historical operation data and prediction algorithms, and thereafter, based on the actual production and operation conditions of the high-energy-consuming enterprises, a day-ahead control plan is obtained based on the control rate calculation model for power supply and the control capacity upper and lower limit calculation model for power supply; By setting up a control module and an auxiliary optimization module, the control module can be used to output control instructions based on the day-ahead control plan. At the same time, it can also provide resource control target settings that can be manually adjusted, and provide external collaborative control instruction call services. The auxiliary optimization module can be used in conjunction with the main functional module to further optimize the power supply system, thereby improving the work efficiency of power grid dispatchers. In general, the present invention has the advantages of being easy and efficient to use and having a safe and reasonable design. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a main structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0012] The present invention will be further described below with reference to the accompanying drawings.

[0013] Example: Figure 1As shown, a collaborative power supply control system for high-energy-consuming enterprises includes a data acquisition module, a transmission module, a preprocessing module, a first modeling module, a second modeling module, a calculation module, and a control module. The data acquisition module is used to collect information data of controllable devices within the enterprise and actual power consumption data of the controllable devices; Transmission module: used to transmit the data information collected by the data acquisition module. At the same time, the transmission module is connected to a data storage module, and the transmitted data information is stored and backed up through the data storage module; Preprocessing module: used to perform preprocessing operations on data information. It is equipped with a filtering unit, a processing unit and a tag integration unit in sequence. The filtering unit can filter the data to remove abnormal data and error information generated by the transition state when the operating mode changes; the processing unit can fill in missing values ​​and normalize the data to ensure the accuracy and consistency of the data; the tag integration unit can label the adjustable devices in sequence according to their information data, and after the labeling is completed, classify the actual power consumption data according to the label, so that the adjustable devices and their actual power consumption data information correspond one to one, thereby forming multiple classified data packets; The first modeling module: Based on the pre-processed data packet information, the flexible and controllable characteristics of the loads of high-energy-consuming enterprises are analyzed, taking into account the production patterns of high-energy-consuming enterprises and the operating patterns and controllability of controllable equipment. After the analysis is completed, a control response model for the controllable equipment within high-energy-consuming enterprises is established using a combination of data-driven and mechanism modeling. Then, based on the control response model of the controllable equipment, a control rate calculation model for high-energy-consuming enterprises to actively coordinate power supply is constructed during the real-time operation phase of the day, combined with the real-time operating conditions of the equipment. The second modeling module: Based on the control response model of controllable equipment, a day-ahead time-sharing coordination schedule is created for high-energy-consuming enterprises. Then, based on this day-ahead time-sharing coordination schedule, during the real-time operation phase within the day, combined with the actual electricity usage conditions of the enterprises, a method combining mechanism analysis and real-time data is used to construct a calculation model for the upper and lower limits of the control capability of high-energy-consuming enterprises to proactively coordinate power supply. Calculation module: Based on pre-acquired historical operating data and prediction algorithms, it obtains the day-ahead power data of the power grid. Then, based on the actual production and operation status of high-energy-consuming enterprises and the power supply guarantee control rate calculation model and the power supply guarantee control capacity upper and lower limit calculation model, it obtains the day-ahead control plan. In addition, the calculation module is internally equipped with an emergency control unit and a classification unit. The emergency control unit can generate emergency control plans and control the control module to issue emergency control instructions. The classification unit can classify each power load line according to its importance level. Control module: Outputs control instructions based on the day-ahead control plan, provides resource control target settings that can be manually adjusted, and provides external collaborative control instruction call services. The control module is internally provided with an instruction storage unit, which is used to store and back up control instructions and manual adjustment records.

[0014] Auxiliary optimization module: used to cooperate with the main functional modules to further optimize the power supply system and improve the work efficiency of power grid dispatchers.

[0015] When the present invention is used, first, the information data of the adjustable equipment within the enterprise and the actual power consumption data of the adjustable equipment are collected by the data acquisition module, and then the data information collected by the data acquisition module is transmitted to the pre-processing module through the transmission module. After receiving the transmitted data information, the pre-processing module can perform a pre-processing operation, that is, filtering the data through the filtering unit to filter out abnormal data and error information generated by the transition state when the operating mode changes; filling in the missing values ​​of the data through the processing unit and normalizing the data to ensure the accuracy and consistency of the data; and labeling the adjustable equipment in sequence according to the information data of the adjustable equipment through the marking integration unit, and After the labeling is completed, the actual power consumption data is classified according to the labeling, so that the adjustable equipment and its actual power consumption data information correspond one to one, thereby forming multiple classified data packets; then, using the first modeling module and based on the pre-processed data information, considering the production law of high-energy-consuming enterprises and the operation law and controllability of adjustable equipment, the flexible adjustable characteristics and rigid controllable characteristics of the load of high-energy-consuming enterprises are analyzed, and after the analysis is completed, a method combining data-driven and mechanism modeling is adopted to establish a control response model for the adjustable equipment within the high-energy-consuming enterprises; then, according to the control response model of the adjustable equipment, in the real-time operation stage within the day, combined with the real-time operating conditions of the equipment, a high-energy-consuming A control rate calculation model for enterprises to actively coordinate to ensure power supply; then, using the second modeling module and based on the control response model of the controllable equipment, a time-sharing coordination schedule for high-energy-consuming enterprises is made. Afterwards, according to the time-sharing coordination schedule for high-energy-consuming enterprises, in the real-time operation stage within the day, combined with the actual power consumption conditions of the enterprises, a method combining mechanism analysis and real-time data is adopted to construct a calculation model for the upper and lower limits of the control capacity of high-energy-consuming industry enterprises to actively coordinate to ensure power supply; finally, using the calculation module and based on the pre-acquired historical operation data and prediction algorithm, the day-ahead power data of the power grid is obtained. Afterwards, according to the actual production and operation conditions of high-energy-consuming enterprises and based on the control rate calculation model for power supply, a time-sharing coordination schedule for high-energy-consuming enterprises is made. The upper and lower limit calculation models of the control capabilities of the type and power supply guarantee are used to obtain the day-ahead control plan; in this process, an emergency control unit and a classification unit are set up inside the calculation module, wherein the emergency control unit can generate an emergency control plan and control the control module to issue an emergency control instruction, and the classification unit can classify each power load line according to the importance level; after completing the above operations, the control module outputs the control instruction according to the day-ahead control plan; and, in the process of using the present invention, the auxiliary optimization module can be used to cooperate with the main functional module to further optimize the power supply guarantee system, thereby improving the work efficiency of the power grid dispatcher; in general, the present invention has the advantages of easy and efficient use and safe and reasonable design.

[0016] The above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A collaborative power supply control system for high-energy-consuming enterprises, comprising a data acquisition module, a transmission module, a preprocessing module, a first modeling module, a second modeling module, a calculation module, and a control module, characterized in that: Data collection module: used to collect information data of adjustable devices within the enterprise and actual power consumption data of adjustable devices; Transmission module: used to transmit the data information collected by the data acquisition module; Preprocessing module: used to preprocess data information, filter out abnormal data and error information generated by the transition state when the operation mode changes, fill in missing values ​​and normalize the data; The first modeling module: Based on pre-processed data information, the flexible and rigid controllable characteristics of the loads of high-energy-consuming enterprises are analyzed, taking into account the production patterns of high-energy-consuming enterprises and the operating patterns and controllability of controllable equipment. After the analysis is completed, a control response model for the controllable equipment within high-energy-consuming enterprises is established using a combination of data-driven and mechanism modeling methods. Then, based on the control response model of the controllable equipment, a control rate calculation model for high-energy-consuming enterprises to actively coordinate power supply is constructed during the real-time operation phase of the day, combined with the real-time operating conditions of the equipment. The second modeling module: Based on the control response model of controllable equipment, a day-ahead time-sharing coordination schedule is created for high-energy-consuming enterprises. Then, based on this day-ahead time-sharing coordination schedule, during the real-time operation phase within the day, combined with the actual electricity usage conditions of the enterprises, a method combining mechanism analysis and real-time data is used to construct a calculation model for the upper and lower limits of the control capability of high-energy-consuming enterprises to proactively coordinate power supply. Calculation module: This module obtains the day-ahead power data of the power grid based on pre-acquired historical operating data and prediction algorithms. It then derives the day-ahead control plan based on the actual production and operation status of high-energy-consuming enterprises, the control rate calculation model for power supply security, and the upper and lower limit calculation model for power supply security control capacity. Control module: Outputs control instructions based on the day-ahead control plan, provides resource control target settings that can be manually adjusted, and provides external collaborative control instruction call services; Auxiliary optimization module: used to cooperate with the main functional modules to further optimize the power supply system and improve the work efficiency of power grid dispatchers.

2. The high-energy-consuming enterprise collaborative power supply control system according to claim 1, characterized in that: The pre-processing module is internally provided with a filtering unit, a processing unit and a tag integration unit, wherein the filtering unit can filter the data to filter out abnormal data and error information generated by the transition state when the operation mode changes; The processing unit can fill in missing values ​​and normalize the data to ensure the accuracy and consistency of the data; the labeling integration unit can label the adjustable devices in sequence according to the information data of the adjustable devices, and after the labeling is completed, classify the actual power consumption data according to the label, so that the adjustable devices and their actual power consumption data information correspond one to one, thereby forming multiple classified data packets.

3. The high-energy-consuming enterprise collaborative power supply control system according to claim 1, characterized in that: The transmission module is externally connected to a data storage module, and the transmitted data information is stored and backed up through the data storage module.

4. The high-energy-consuming enterprise collaborative power supply control system according to claim 1, characterized in that: The calculation module is internally provided with an emergency control unit, which can generate an emergency control plan and control the control module to issue an emergency control instruction.

5. The high-energy-consuming enterprise collaborative power supply control system according to claim 1, characterized in that: A classification unit is provided inside the calculation module, and the classification unit can classify each power load line according to the importance level.

6. The high-energy-consuming enterprise collaborative power supply control system according to claim 1, characterized in that: The control module is internally provided with an instruction storage unit, and the instruction storage unit is used to store and back up control instructions and manual adjustment records.

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