A method, system and storage medium for intelligent control of electric flexible load

Abstract

The present invention belongs to the technical field of electric flexible loads, and discloses an intelligent control method, system and storage medium for electric flexible loads, the method comprising: obtaining load demand data collected by multiple load control terminals; inputting the sorted load demand data into a time series prediction model to obtain flexible load prediction data; setting a load control time segment according to the flexible load prediction data, and generating a load control terminal execution instruction based on the load control time segment; and making the load control terminal execute the load control terminal execution instruction to realize flexible load intelligent control. Beneficial effect: The regional server completes the flexible load prediction according to the load demand data, and sends the load control terminal to execute the control instruction according to the load control time segment, realizing intelligent flexible load control, giving full play to the flexible load regulation potential on the user side, realizing refined flexible load control on the user demand side, and meeting the flexible scheduling of power grid capacity and flexible needs of users.

Description

Technical Field

[0001] The present invention relates to the technical field of electric flexible loads, and in particular to an electric flexible load intelligent control method, system and storage medium. Background Art

[0002] Electric power flexible loads can actively participate in the operation and control of the power grid, and can interact with the power grid in an energy manner, which has flexible characteristics. Flexible loads can reduce electricity costs by adjusting electricity consumption behavior, and can also play a role in peak load reduction and valley filling in the power system.

[0003] At present, flexible load control mostly remains in the field of macro-power regulation, such as flexible load control through electricity prices or prior contracts. However, on the demand side, that is, the user's load side, there is still a lack of control over flexible loads, and the huge flexible load regulation potential on the user side has not been fully utilized.

[0004] Therefore, it is necessary to improve the existing control methods and systems for power flexible loads to fully tap the flexible load regulation potential on the user side. Summary of the invention

[0005] The purpose of the present invention is to improve the existing control method and system of electric flexible load to give full play to the flexible load regulation potential of the user side.

[0006] In order to achieve the above object, the present invention provides an intelligent control method for electric flexible load, comprising:

[0007] Load demand data collected by multiple load control terminals are obtained; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series.

[0008] The load demand data are sorted based on the time series, and the sorted load demand data are input into the time series prediction model to obtain flexible load prediction data.

[0009] A load control time segment of each load control terminal is set according to the flexible load forecast data, and a load control terminal execution instruction of each load control terminal is generated based on the load control time segment.

[0010] The load control terminal execution instruction is sent to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.

[0011] Furthermore, the intelligent control method further includes:

[0012] Setting a load control feedback time segment according to a time sequence of the load control terminal executing instructions, and generating flexible load control data based on the load control feedback time segment;

[0013] The flexible load regulation data is sent to a preset control center.

[0014] Furthermore, the load control terminal executes instructions including any one or more of closing control, power control, quantity control and time period control on the user load demand side.

[0015] Furthermore, the time series prediction model is any one of an autoregressive model, a moving average model, an autoregressive moving average model and a differential autoregressive moving average model of machine learning.

[0016] Furthermore, the load control time segment of each load control terminal is set according to the flexible load forecast data, specifically:

[0017] A data change rate threshold is set according to the flexible load forecast data, and a load control time segment of each load control terminal is set according to the data change rate threshold.

[0018] Furthermore, the flexible load control data includes flexible load type, flexible load priority, flexible load peak period, flexible load valley period and flexible load normal period; the flexible load type includes flexible load of large industrial users, flexible load of commercial users and flexible load of residential users.

[0019] The present invention also discloses an intelligent control system for electric flexible loads, which includes: a control center, at least one regional server and multiple load control terminals; the control center is connected to the regional servers, and the control center is used to control the multiple regional servers according to a pre-established flexible load scheduling plan mode; each of the regional servers is connected to multiple load control terminals, and the regional servers are used to receive load demand data sent by the load control terminals and execute the above-mentioned intelligent control method to realize intelligent control of the load control terminals; the load control terminals are used to collect load demand data and execute load control terminal execution instructions sent by the regional servers.

[0020] Furthermore, the dispatch planning mode of the flexible load includes any one or more of a mode based on electricity price, a mode based on contract agreement, a mode based on demand-side bidding, a mode based on orderly power consumption, a mode based on participation in reserve plan and a mode based on participation in frequency control.

[0021] Furthermore, the load control terminal includes a control module, an acquisition module, a setting module, a load control module, a communication module and a power module; the acquisition module, the setting module, the load control module, the communication module and the power module are respectively connected to the control module; the load control terminal is arranged on the user side, the acquisition module is used to collect the load demand data of the user side load, and send the load demand data to the regional service through the communication module; the setting module is used to implement the system and parameter settings of the load control terminal by the regional server; the load control module is used to execute the load control terminal execution instructions issued by the regional server; the communication module includes any one of narrowband Internet of Things, Bluetooth, wireless Wifi and RS484; the power module is an independent three-phase power supply module.

[0022] The present invention also discloses a storage medium storing a computer program, wherein the computer program includes a flexible load intelligent control program, and when the flexible load intelligent control program is executed by a processor, the flexible load intelligent control method described above is implemented.

[0023] Compared with the prior art, the intelligent control method, system and storage medium of electric flexible load disclosed in the present invention have the following beneficial effects: load demand data is collected through the load control terminal, and the regional server completes flexible load prediction according to the load demand data, and sends control instructions to the load control terminal according to the load control time segment to realize intelligent flexible load control, give full play to the flexible load regulation potential on the user side, realize refined flexible load control on the user demand side, and meet the flexible scheduling of power grid capacity and flexible needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a first flow chart of an intelligent control method for electric flexible load of the present invention;

[0025] Figure 2 It is a second flow diagram of an intelligent control method for electric flexible loads of the present invention;

[0026] Figure 3 It is a structural schematic diagram of an intelligent control system for electric flexible loads of the present invention;

[0027] Figure 4 It is a structural schematic diagram of a medium load control terminal of an electric flexible load intelligent control system of the present invention;

[0028] Figure 5 It is a structural schematic diagram of a regional server of the present invention;

[0029] Figure 6 It is a structural schematic diagram of a flexible load intelligent control program in a regional server of the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0031] Embodiment 1:

[0032] Refer to the attached Figure 1 The present invention discloses an intelligent control method for electric flexible load, which is applied to flexible load regulation of electric power system, including:

[0033] Step S1, acquiring load demand data collected by multiple load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series.

[0034] Step S2, sorting the load demand data based on the time series, and inputting the sorted load demand data into the time series prediction model to obtain flexible load prediction data.

[0035] Step S3, setting the load control time segment of each load control terminal according to the flexible load forecast data, and generating a load control terminal execution instruction of each load control terminal based on the load control time segment.

[0036] Step S4, sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.

[0037] In step S1, the load control terminal 30 may correspond to a commercial center, a factory, or a residential area, and more refined management may be implemented. For example, each load control terminal 30 may correspond to a household, a commercial building, or a workshop in a factory, etc., which is not limited here.

[0038] In step S2, the time series prediction model is any one of the autoregressive model, moving average model, autoregressive moving average model and differential autoregressive moving average model of machine learning. The autoregressive model, moving average model, autoregressive moving average model and differential autoregressive moving average model are used for machine learning algorithms, and are trained by machine learning algorithms to achieve accurate flexible load forecasting data. Specifically, in one embodiment of the present invention, a differential autoregressive moving average model is selected for machine learning. Through intelligent machine learning, the workload of manual participation or manual intervention is reduced, labor costs are saved, and flexible load management is made more refined and intelligent.

[0039] In step S3, a load control time segment of each load control terminal is set according to the flexible load forecast data, and a load control terminal execution instruction of each load control terminal is generated based on the load control time segment.

[0040] In this embodiment, the load control terminal executes instructions including any one or more of closing control, power control, quantity control and time period control on the user load demand side.

[0041] In this embodiment, setting the load control time segment of each load control terminal according to the flexible load prediction data is specifically: setting a data change rate threshold according to the flexible load prediction data, and setting the load control time segment of each load control terminal according to the data change rate threshold.

[0042] Step S3 is further explained in combination with actual application scenarios. For example, according to the flexible load forecasting data, it can be known that at a specific time point of 23 o'clock, a negative change greater than 10% occurs, which means that at 23 o'clock, the user load has a load reduction of more than 10%, and the data change rate threshold is set to 10%, that is, the data change rate threshold is exceeded at a specific time point of 23 o'clock, and the load control time segment is set at 23 o'clock, that is, the corresponding control instruction is set at 23 o'clock, and the control instruction is generated in the load control terminal execution instruction. Specifically, based on the numerical setting of the data change rate threshold, more refined flexible load control can be achieved. For example, by judging the data of the flexible load forecasting data, when the data change rate threshold is set to a smaller value such as 5%, the flexible load control can be made more sensitive, and flexible control can be achieved even when the data change rate is small, which increases the flexibility and refinement of the control.

[0043] In step S4, the load control terminal execution instruction is sent to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.

[0044] Embodiment 2:

[0045] Reference Figure 2 , based on Example 1, the intelligent control method further includes:

[0046] Step S5, setting a load control feedback time segment according to the time sequence of the load control terminal executing the instruction, and generating flexible load control data based on the load control feedback time segment;

[0047] Step S6, sending the flexible load regulation data to a preset control center 10.

[0048] In step S5, the frequency of flexible load intelligent control can be obtained through the time sequence of the load control terminal executing the instruction. According to the frequency, the time period with a longer interval of flexible load intelligent control is selected as the load control feedback time segment, which is beneficial for the system to perform flexible load intelligent control without affecting system performance. At the same time, the load control feedback time segment can also be set in combination with the feedback time cycle defined by the reference control center 10 and the time sequence of the load control terminal 30 executing the instruction. The flexible load control data includes flexible load type, priority, and flexible load peak time, valley time and flat time data; the flexible load type includes large industrial user flexible load, commercial user flexible load and residential user flexible load.

[0049] In step S6, the flexible load regulation data is sent to the preset control center 10. The control center 10 formulates a flexible load scheduling plan mode, and the flexible load scheduling plan mode includes any one or more of a mode based on electricity price, a mode based on contract agreement, a mode based on demand-side bidding, a mode based on orderly power consumption, a mode based on participation in a standby plan, and a mode based on participation in frequency control, so as to realize the scheduling control of the flexible load at the control center 10 level.

[0050] In this embodiment, preferably, by adjusting the size of the load control time segment, it is possible to intelligently generate control instructions, thereby executing the instructions through the load control terminal to realize intelligent control of flexible loads on the user demand side, and the identification and automatic adjustment of flexible loads can be realized without human intervention, saving labor costs, and the control of flexible loads is more intelligent and refined; at the same time, by adjusting the load adjustment feedback time segment, it is possible to quickly feedback flexible load control data to the control center 10, which is beneficial for the control center 10 to quickly adjust the scheduling plan of the flexible load.

[0051] In this embodiment, the flexible load control data includes flexible load type, flexible load priority, flexible load peak period, flexible load valley period and flexible load normal period; the flexible load type includes flexible load of large industrial users, flexible load of commercial users and flexible load of residential users.

[0052] Embodiment 3:

[0053] Refer to the attached Figure 3 The present invention discloses an intelligent control system for electric flexible loads, the intelligent control system comprising: a control center 10, at least one regional server 20 and a plurality of load control terminals 30; the control center 10 is connected to the regional server 20, the control center 10 is used to control the plurality of regional servers 20 according to a pre-established flexible load dispatching plan mode; each of the regional servers 20 is connected to a plurality of load control terminals 30, the regional server 20 is used to receive load demand data sent by the load control terminal 30 and execute the intelligent control method in embodiment 1 or 2 to realize intelligent control of the load control terminal 30; the load control terminal 30 is used to collect load demand data and execute the load control terminal execution instruction sent by the regional server 20.

[0054] In this embodiment, the number of the regional servers 20 is determined according to the actual application scope of the system. When multiple regions need to be managed, multiple regional servers 20 are set up, and each regional server 20 is connected to the control center 10; each region has multiple load control terminals 30 that need to be controlled, so the regional controller is connected to multiple load control terminals 30.

[0055] In this embodiment, the load control terminal 30 can correspond to a commercial center, a factory, or a residential area, and more refined management can also be implemented. For example, each load control terminal 30 can correspond to a household, a commercial building, or a workshop in a factory, etc., which is not limited here.

[0056] In this embodiment, in combination with the intelligent control method in Embodiments 1 to 3, it can be seen that the regional server 20 is used to: (1) obtain load demand data collected by multiple load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series; (2) sort the load demand data based on time series, and input the sorted load demand data into the time series prediction model to obtain flexible load prediction data; (3) set the load control time segment of each load control terminal according to the flexible load prediction data, and generate the load control terminal execution instruction of each load control terminal based on the load control time segment; (4) send the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control. (5) set the load control feedback time segment according to the time sequence of the load control terminal execution instruction, and generate flexible load control data based on the load control feedback time segment; (6) send the flexible load control data to the preset control center 10.

[0057] The control center 10 is used to: (1) receive the flexible load control data sent by the regional server 20; and (2) formulate a flexible load scheduling plan mode.

[0058] The load control terminal 30 is used to: (1) collect load demand data; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series; (2) execute the load control terminal execution instructions sent by the regional server 20 to realize flexible load intelligent control.

[0059] In this embodiment, the dispatching plan mode of the flexible load includes any one or more of a mode based on electricity price, a mode based on contract agreement, a mode based on demand-side bidding, a mode based on orderly electricity consumption, a mode based on participation in standby plan, and a mode based on participation in frequency control. Different modes correspond to different power system environments. The control method of flexible loads is related to actual power dispatching, and there are differences in power dispatching plans between different modes. For example, taking the node-to-node electricity price as the solution object, a safety constraint dispatching strategy for flexible loads to participate in standby is implemented; the power sales revenue of incentive loads and the compensation cost of interruptible loads are taken into consideration, and the strategy of flexible loads participating in load peak regulation is implemented with the goal of maximizing the benefits; with the power system frequency control as the goal, the start and stop of flexible loads are controlled through demand response means to balance power demand and grid operation status; the joint dispatching of distributed power sources and unidirectional flexible loads is considered to improve the power system operation efficiency, etc.

[0060] Embodiment 4:

[0061] On the basis of Example 4, in order to better realize the intelligent control of the flexible load, it is necessary to further optimize the intelligent control system in this application. Therefore, an optional implementation method of the load control terminal 30 is provided in this embodiment, specifically:

[0062] In this embodiment, refer to the attached Figure 4 The load control terminal 30 includes a control module 31, a collection module 32, a setting module 33, a load control module 34, a communication module 35 and a power module 36; the collection module 32, the setting module 33, the load control module 34, the communication module 35 and the power module 36 are respectively connected to the control module 31; the load control terminal 30 is arranged on the user side, the collection module 32 is used to collect the load demand data of the user side load, and send the load demand data to the regional server 20 through the communication module 35; the setting module 33 is used to implement the system and parameter settings of the load control terminal 30 by the regional server 20; the load control module 34 is used to execute the load control terminal execution instruction issued by the regional server 20; the communication module 35 includes any one of narrowband Internet of Things, Bluetooth, wireless Wifi and RS484; the power module 36 is an independent three-phase power supply module.

[0063] In this embodiment, the load control terminal executes instructions including any one or more of closing control, power control, quantity control and time period control on the user load demand side, and the load control module 34 executes the above instructions to implement flexible charge control.

[0064] In this embodiment, the load control terminal 30 is further described in combination with the actual application scenario. The communication module 35 uses narrowband Internet of Things to achieve communication connection with the regional server 20. The acquisition module 32 is preferably a high-speed and high-precision digital sampling sensor to achieve real-time high-speed electric energy calculation. Under the operating conditions of large load fluctuations and high harmonic content, the sampling and electric energy metering accuracy can still be guaranteed. The collected data includes current data, voltage data, power factor and electric quantity data based on time series, etc. Preferably, the acquisition module 32 also includes environmental acquisition sensors, such as temperature, humidity, etc., and reports the environmental conditions to the control center 10 through the regional server 20; at the same time, the acquisition module 32 is also provided with a remote meter reading unit, which supports a variety of electric meter communication protocols and realizes the data reading of existing smart meter electricity.

[0065] Embodiment 5:

[0066] The present invention also discloses a storage medium storing a computer program, wherein the computer program includes a flexible load intelligent control program. When the flexible load intelligent control program is executed by the processor 22, the flexible load intelligent control method described in Example 1 or Example 2 is implemented.

[0067] Based on the storage medium, the present invention also discloses a regional server 20, which includes a storage medium, a processor 22, a communication bus 23 and a network interface 24. The storage medium stores a flexible load intelligent control program that can be run on the processor 22. When the flexible load intelligent control program is executed by the processor 22, the flexible load intelligent control method in Example 1 or 2 is implemented. The storage medium, the communication bus 23 and the network interface 24 are all connected to the processor 22.

[0068] In this embodiment, the readable storage medium includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 21 may be an internal storage unit of the regional server 20 in some embodiments, such as a hard disk of the regional server 20. The memory 21 may also be an external storage device of the regional server 20 in other embodiments, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. equipped on the regional server 20. Further, the memory 21 may also include both an internal storage unit of the regional server 20 and an external storage device. The memory 21 may not only be used to store application software and various data installed in the regional server 20, such as the code of the flexible load intelligent control program, etc., but also be used to temporarily store data that has been output or is to be output.

[0069] In this embodiment, the processor 22 can be a central processing unit (CPU), a controller, a microcontroller, a microprocessor or other data processing chip in some embodiments, which is used to run the program code or process data stored in the memory 21, such as executing a flexible load intelligent control program.

[0070] In this embodiment, the communication bus 23 is used to realize the connection and communication between these components. The network interface 24 may include a standard wired interface, a wireless interface (such as a WI-FI interface), and is usually used to establish a communication connection between the regional server 20 and other electronic devices.

[0071] In this embodiment, the regional server 20 may also include a user interface, which may include a display (Display), an input unit such as a keyboard (Keyboard), and the optional user interface may also include a standard wired interface and a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device, etc. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the regional server 20 and to display a visual user interface.

[0072] Figure 5 A regional server 20 having components 21-24 and a flexible load intelligent control program is provided. It can be understood by those skilled in the art that: Figure 4 The illustrated structure does not constitute a limitation on the regional server 20 , and may include fewer or more components than illustrated, or may combine certain components, or may have different component arrangements.

[0073] exist Figure 5 In the illustrated embodiment of the regional server 20, the memory 21 stores a flexible load intelligent control program; when the processor 22 executes the flexible load intelligent control program stored in the memory 21, the following steps are implemented:

[0074] Step S1, acquiring load demand data collected by multiple load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series.

[0075] Step S2, sorting the load demand data based on the time series, and inputting the sorted load demand data into the time series prediction model to obtain flexible load prediction data.

[0076] Step S3, setting the load control time segment of each load control terminal according to the flexible load forecast data, and generating a load control terminal execution instruction of each load control terminal based on the load control time segment.

[0077] Step S4, sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.

[0078] Step S5, setting a load control feedback time segment according to the time sequence of the load control terminal executing the instruction, and generating flexible load control data based on the load control feedback time segment;

[0079] Step S6, sending the flexible load regulation data to a preset control center 10.

[0080] Embodiment 6:

[0081] Based on Example 5, Figure 6 FIG. 1 is a schematic diagram of a program module of a flexible load intelligent control program in an embodiment of a regional server 20 of the present invention. In this embodiment, the flexible load intelligent control program can be divided into an acquisition module 101, a calculation module 102, a second setting module 103, an instruction generation module 104 and a sending module 105. Exemplarily:

[0082] The acquisition module 101 is used to acquire load demand data collected by multiple load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series.

[0083] The calculation module 102 is used to sort the load demand data based on the time series, and input the sorted load demand data into the time series prediction model to obtain flexible load prediction data.

[0084] The second setting module 103 is used to set the load control time segment of each load control terminal according to the flexible load forecasting data.

[0085] The instruction generation module 104 is used to generate a load control terminal execution instruction for each load control terminal based on the load control time segment.

[0086] The sending module 105 sends the flexible load regulation data to a preset control center 10 .

[0087] Furthermore, the calculation module 102 is further used to set the load control feedback time segment according to the time sequence of the load control terminal 30 executing the instruction, and generate flexible load control data based on the load control feedback time segment. The sending module 105 is also used to send the load control terminal execution instruction to the load control terminal 30 so that the load control terminal 30 executes the load control terminal execution instruction to realize flexible load intelligent control.

[0088] The functions or operation steps implemented when the program modules such as the acquisition module 101, the calculation module 102, the second setting module 103, the instruction generation module 104 and the sending module 105 are executed are substantially the same as those in the above embodiment and will not be repeated here.

[0089] Embodiment 7:

[0090] Based on Embodiment 6, the embodiment of the present invention further proposes a storage medium, which is a computer-readable storage medium, and stores a flexible load intelligent control program. The flexible load intelligent control program can be executed by one or more processors 22 to implement the following operations:

[0091] Step S1, acquiring load demand data collected by multiple load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series.

[0092] Step S2, sorting the load demand data based on the time series, and inputting the sorted load demand data into the time series prediction model to obtain flexible load prediction data.

[0093] Step S3, setting the load control time segment of each load control terminal according to the flexible load forecast data, and generating a load control terminal execution instruction of each load control terminal based on the load control time segment.

[0094] Step S4, sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.

[0095] Step S5, setting a load control feedback time segment according to the time sequence of the load control terminal executing the instruction, and generating flexible load control data based on the load control feedback time segment;

[0096] Step S6, sending the flexible load regulation data to a preset control center 10.

[0097] The specific implementation of the storage medium of the present invention is basically the same as the above-mentioned flexible load intelligent control method and system embodiments, and will not be described in detail here.

[0098] Compared with the prior art, the flexible load intelligent control and system provided by the present invention collects load demand data through the load control terminal 30, and the regional server 20 completes the flexible load forecast according to the load demand data, and sends the load control terminal 30 to execute the control instruction according to the load control time segment, so as to realize intelligent flexible load control, give full play to the flexible load regulation potential on the user side, realize refined flexible load control on the user demand side, and meet the flexible dispatching of power grid capacity and flexible demand of users. Furthermore, the flexible load regulation data is sent to the control center 10 to realize the macro dispatching control of the flexible load. Thus, the macro flexible load dispatching control is met.

[0099] It should be noted that the serial numbers of the above-mentioned embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments. And the terms "including", "comprising" or any other variants thereof in this article are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "including one..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0100] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a drone, mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0101] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. An intelligent control system for electric flexible loads, characterized in that: The intelligent control system includes: a control center, at least one regional server and multiple load control terminals; the control center is connected to the regional server, and the control center is used to control the multiple regional servers according to a pre-established flexible load scheduling plan mode; each regional server is connected to multiple load control terminals, and the regional server is used to receive load demand data sent by the load control terminal and execute the following power flexible load intelligent control method to achieve intelligent control of the load control terminal; the load control terminal is used to collect load demand data and execute the load control terminal execution instruction sent by the regional server: the load control terminal includes a control module, a collection module, a setting module, Load control module, communication module and power module; the acquisition module, setting module, load control module, communication module and power module are respectively connected to the control module; the load control terminal is arranged on the user side, the acquisition module is used to collect the load demand data of the user side load, and send the load demand data to the regional service through the communication module; the setting module is used to implement the system and parameter settings of the load control terminal by the regional server; the load control module is used to execute the load control terminal execution instruction issued by the regional server; the communication module includes any one of narrowband Internet of Things, Bluetooth, wireless Wifi and RS484; the power module is an independent three-phase power supply module; The electric flexible load intelligent control method includes: Acquire load demand data collected by multiple load control terminals; the load demand data includes one or more of current data, voltage data, power factor and power data based on time series; Sorting the load demand data based on the time series, and inputting the sorted load demand data into the time series prediction model to obtain flexible load prediction data; Setting a data change rate threshold according to the flexible load forecast data, setting a load control time segment of each load control terminal according to the data change rate threshold, and generating a load control terminal execution instruction of each load control terminal based on the load control time segment; The load control terminal execution instruction is sent to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.

2. The intelligent control system for electric flexible load according to claim 1 is characterized in that: The dispatch planning mode of the flexible load includes any one or more of a mode based on electricity price, a mode based on contract agreement, a mode based on demand-side bidding, a mode based on orderly power consumption, a mode based on participation in reserve plan and a mode based on participation in frequency control.

3. The intelligent control system for electric flexible load according to claim 1 is characterized in that: The electric flexible load intelligent control method further includes: Setting a load control feedback time segment according to a time sequence of the load control terminal executing instructions, and generating flexible load control data based on the load control feedback time segment; The flexible load regulation data is sent to a preset control center.

4. The intelligent control system for electric flexible load according to claim 1 is characterized in that: The load control terminal executes instructions including any one or more of closing control, power control, quantity control and time period control on the user load demand side.

5. The intelligent control system for electric flexible load according to claim 1 is characterized in that: The time series prediction model is any one of an autoregressive model, a moving average model, an autoregressive moving average model and a differential autoregressive moving average model of machine learning.

6. The intelligent control system for electric flexible load according to claim 3 is characterized in that: The flexible load control data includes flexible load type, flexible load priority, flexible load peak period, flexible load valley period and flexible load normal period; the flexible load type includes flexible load of large industrial users, flexible load of commercial users and flexible load of residential users.

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