AI microgrid system

Through the AI ​​central control system and intelligent power supply control system of the AI ​​microgrid system, the power consumption period of the power consumption equipment is automatically dispatched, and the power supply of the power grid is optimized, which solves the problem that the existing power grid management system is difficult to achieve peak and valley power management and grid harmonic elimination, and achieves efficient and refined power grid management.

CN120016591APending Publication Date: 2025-05-16SICHUAN CHUANGXIN TIMES TECHNOLOGY GROUP CO LTD
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Patent Information

Application Number
CN202410919335.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-12-14
Filing Date
2024-07-10
Publication Date
2025-05-16

AI Technical Summary

Technical Problem

It is difficult for existing power grid management systems to achieve peak and valley power management without the need for active intervention of users, and it is difficult to finely balance different locations and seasons, and at the same time, it is impossible to effectively eliminate or reduce grid harmonics.

Method used

The AI ​​microgrid system is adopted, including the AI ​​central control system and the intelligent power supply control system. Through data acquisition, signal processing and logic operations, the power consumption period of the power consumption equipment is automatically dispatched, the power supply of the power grid is optimized, the power supply of the power grid is avoided and the maintenance period is maintained, and the grid harmonics are eliminated or reduced through the active filter system.

Benefits of technology

It realizes peak and valley power management without the need for active intervention of users, and timely grid balance is carried out for different locations and seasons, eliminating or reducing grid harmonics, and improving the smoothness and efficiency of grid power supply.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the field of electricity, in particular to a power supply technology. The AI micro-grid system comprises an AI central control system for dispatching the power utilization condition of electric equipment, a grid information acquisition system and at least one intelligent power supply control system; the power grid information acquisition system is used for acquiring power grid power supply information; the intelligent power supply control system is a control system used for controlling electric equipment to work; the AI central control system and the intelligent power supply control system are networked; the AI central control system operates a dispatching management software module, and the dispatching management software module dispatches the multiple intelligent power supply control systems through remote networking according to the power grid power supply information and sends the power grid power supply information and the power utilization operation time period to the intelligent power supply control systems, so that the power utilization conditions of the multiple power utilization devices are controlled. Power grid power supply optimization is realized, so that the power grid output electric quantity and the power plant generating capacity tend to an optimized adaptation relation; or before the power grid is maintained, electric equipment is used for completing necessary work in advance.
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Description

Technical Field

[0001] The present invention relates to the field of electricity, and in particular to power supply technology. Background Art

[0002] The temporal imbalance of grid load is a major problem facing the current power system.

[0003] To this end, the power grid system has introduced a time-of-use electricity pricing plan, which has provided great help in solving this problem.

[0005] However, some people are not sensitive to electricity prices, and the time-of-use electricity price plan has little effect on them.

[0006] In addition, the time-of-use electricity price only roughly divides the time period into several periods. It is difficult to manage according to the characteristics of the electricity consumption area or the characteristics of the electricity consumption season.

[0007] Another solution is virtual power plants, microgrids, and other energy storage management concepts.

[0008] Electricity is first stored in some form during the low-consumption period, and then released to the grid during the peak-consumption period as needed.

[0009] Energy storage management concepts such as virtual power plants and microgrids require the use of energy storage devices. First, the existence of energy storage devices is expensive, occupies a large space, and requires system maintenance; second, there is inevitable energy loss during the energy storage and discharge process; third, it cannot actively reduce grid harmonics.

[0010] Therefore, there is a need for an intelligent power grid management system that does not require active user intervention for peak and valley management, does not require energy storage equipment to store energy, can accurately balance peaks and valleys in different locations and different micro-time periods, and can appropriately eliminate or reduce harmonics. Summary of the invention

[0011] The object of the present invention is to provide an AI microgrid system to solve at least one of the above technical problems.

[0012] The technical problem solved by the present invention can be achieved by adopting the following technical solutions:

[0013] The AI ​​microgrid system includes an AI central control system for intelligently dispatching the power consumption of power-consuming equipment, and the AI ​​central control system has a microprocessor system;

[0014] It also includes a power grid information collection system and at least one intelligent power supply control system;

[0015] The power grid information collection system is used to obtain power grid power supply information, including at least one type of information including: power grid output, power plant power generation, and power grid maintenance information;

[0016] The microprocessor system is connected to the power grid information collection system to obtain power grid power supply information;

[0017] The intelligent power supply control system is a control system used to control the operation of electrical equipment, including an intelligent control circuit and a current control module;

[0018] The intelligent control circuit controls the connected current control module;

[0019] The intelligent control circuit runs a power supply time management software module, which selects a power supply time period for the power-consuming equipment according to the power supply information of the power grid, the allocated power consumption operation time period, the type of power-consuming equipment, the working time of the power-consuming equipment, and the time limit for the power-consuming equipment to complete the work;

[0020] The intelligent power supply control system enters the preparation state, requiring the user to input the work completion time, or generating the work completion time based on the device attributes;

[0021] After entering the preparation state and before the work is completed, the time period for working is selected based on information including the power output information of the power grid.

[0022] It also includes a network module, through which the microprocessor system is remotely connected to the intelligent power supply control system;

[0023] The microprocessor system and the scheduling management software module running in the microprocessor system form an AI central control system;

[0024] The AI ​​central control system serves as the dispatching and control center of the power grid. It runs a dispatching management software module. The dispatching management software module dispatches a large number of intelligent power supply control systems through remote networking according to the power supply information of the power grid, and sends the power supply information and power operation time period of the power grid to the intelligent power supply control system, thereby enabling the AI ​​central control system to control the power consumption of a large number of power-consuming devices, optimize the power supply of the power grid, and thus make the power output of the power grid and the power generation of the power plant tend to the optimized adaptation relationship;

[0025] Before grid maintenance, grid maintenance information is sent to the AI ​​central control system. The grid maintenance information includes the start time and end time of grid maintenance. The time period between the start time and the end time is called the grid maintenance period. The intelligent power supply control system sets the power operation time period of the power-consuming equipment. During the grid maintenance period, the power-consuming equipment is controlled to work in advance; after the grid maintenance, the equipment waits until the grid maintenance is completed before working.

[0026] In the above design, the AI ​​microgrid system includes an AI central control system, which is used for data acquisition and storage, signal processing, logical operations, network connection, and control output. The AI ​​central control system is connected to the power grid information acquisition system to obtain power grid power supply information as the basis for signal processing and logical operations. The intelligent power supply control system is bound to the power-consuming equipment to control the operation of the power-consuming equipment.

[0027] The intelligent power supply control system is used to control the power consumption period of the power-consuming equipment. The intelligent power supply control system adopts the high-performance, low-cost, and low-power STM32 embedded single-chip microcomputer. The power supply time management software module can independently complete the logical operation according to the relevant parameters such as the power grid information, the type of power-consuming equipment, the working time of the power-consuming equipment, and the time limit for the power-consuming equipment to complete the work, and obtain the optimized power supply time period of the power-consuming equipment.

[0028] The intelligent power supply control system needs to collect the work completion time of the power-consuming equipment, and then select the time period to optimize the power grid from the time it enters the preparation state to the time the work is completed, such as staggering the peak of the power grid, or staggering the maintenance period of the power grid.

[0029] The AI ​​central control system is connected to the network module, which forms a central base station of the cellular network through the network module to access multiple intelligent power supply control systems, thereby enabling the AI ​​central control system to control the time periods of power-consuming equipment connected to the power grid.

[0030] The working mode and working time of power-consuming equipment are managed by the AI ​​microgrid system. Based on the grid information sent by the grid information collection system, the AI ​​central control system combines the type of power-consuming equipment, the working time of the power-consuming equipment, and the time limit for the power-consuming equipment to complete the work, and autonomously selects the working time plan to optimize the adaptation relationship between the power grid output and the power plant power generation, or avoid grid maintenance.

[0031] Because the AI ​​microgrid system can set individual power consumption plans for almost every power-consuming device, the control accuracy can reach every tiny power consumption period of every power-consuming device in every area, providing extreme service to the power grid.

[0032] Furthermore, the AI ​​central control system and the power grid information collection system are both set up in a location in the power plant and the substation; the power grid information collection system has an Internet of Things, which connects the power plant and the substation through the Internet of Things, and receives the power plant power generation, power grid output, and power grid maintenance information released by the power plant and the substation.

[0033] In the above design, the power grid information collection system includes an ESP32 microcontroller. The ESP32 microcontroller has a built-in Wi-Fi function, which can build an interconnected Internet of Things with the power plant and substation intelligent system, and receive relevant power grid power supply information from the power plant and substation, including at least one type of information: power plant power generation, power grid output, and power grid maintenance information.

[0034] Furthermore, the network module adopts a narrowband Internet of Things communication module; at least two narrowband Internet of Things communication modules are set, one is connected to the AI ​​central control system, and the other is connected to the intelligent power supply control system, and the two narrowband Internet of Things communication modules form a remote wireless network.

[0035] In the above design, the narrowband Internet of Things communication module is a low-power and wide-coverage Internet of Things wireless communication module based on the existing narrowband Internet of Things (NB-IoT) technology. The narrowband Internet of Things has the characteristics of wide coverage, multiple connections, fast speed, low cost, low power consumption, and excellent architecture. A narrowband Internet of Things base station can cover a range of 10km and can support many intelligent power supply control systems to stably connect to the AI ​​central control system.

[0036] Furthermore, the intelligent control circuit also includes a manual input component for setting the completion time of the work of the electrical equipment; the manual input component includes a numeric keypad, and the numeric keypad is a parameter input device adapted to the intelligent control circuit.

[0037] In the above design, the numeric keypad is provided with keys with numbers 0 to 9, and its function is to manually set the work completion time of the electrical equipment. By setting the work completion time to the off-peak period through the numeric keypad, it can save electricity costs and help balance the idle load of the power grid.

[0038] Furthermore, the AI ​​central control system obtains data such as the number, type, and power consumption of electrical equipment to be completed within a period of time through numerous intelligent power supply control systems;

[0039] The dispatch management software module is responsible for calculating and optimizing the number, type, power consumption and other data of the power-consuming equipment put into operation in each period, staggering the working time of each power-consuming equipment in the power grid in an orderly manner, arranging the equipment that generates harmonics in the power grid to work at off-peak times, and arranging the power-consuming equipment that has a mutual inhibitory effect on the power grid harmonics to work simultaneously;

[0040] And transmit the control information to the intelligent power supply control system to realize control.

[0041] In the above design, the AI ​​central control system staggers the working hours of various electrical equipment in the power grid in an orderly manner, which has the beneficial effect of improving the smoothness of the power grid. In addition, for equipment that will generate harmonics to the power grid after operation, it is more necessary to work in an orderly manner to stagger the peak hours to prevent the superposition of power grid harmonics from causing more serious pollution to the power grid, while electrical equipment that generates power grid harmonics that have a mutual offsetting effect are arranged to work in the same period of time.

[0042] Furthermore, the AI ​​central control system will enter the preparation state and give a lower electricity price calculation or reward if the electricity consumption exceeds a set value during the period from the time the work is prepared to the time the work is completed.

[0043] For the sake of encouragement, users can give the AI ​​central control system a wider time allocation margin.

[0044] Furthermore, the intelligent power supply control system is provided with a work completion time memory function, which is used to automatically call up the memorized work completion time when the electrical equipment enters the ready-to-work state.

[0045] The above design eliminates the need for users to set the work completion time each time, thereby solving the problem of users who are not sensitive to electricity prices being reluctant to handle the work.

[0046] Furthermore, the intelligent power supply control system, alone or in interaction with the AI ​​central control system, formulates a time-limited strategy to avoid grid maintenance time and complete the work ahead of time.

[0047] Strategies for balancing the power grid:

[0048] For example, there is a charging system for charging electric vehicles. The time when the electric vehicle is connected to the charging system is 6 pm, and the time when the electric vehicle is charged is set to 9 o'clock the next day. The existing charging system automatically charges after being plugged in, and until it is full.

[0049] However, this design can automatically avoid the peak period according to the power supply load of the power grid, and even automatically select the lowest period. Because it has the characteristic of accurately selecting the lowest period, it is beneficial to the power grid system, so it has the conditions to obtain lower prices.

[0050] Similarly, we can optimize the working time periods of equipment such as electric vehicles that need to be charged, rice cookers, refrigerators, electric kettles that are scheduled at night, washing machines that are allowed to wait, etc. through the AI ​​central control system.

[0051] For air conditioners, refrigerators and other power-intensive appliances, especially those that are not variable-frequency air conditioners and refrigerators, because the compressor is not always in working condition and there are working gaps, the AI ​​central control system can accurately control the start-up time of each motor through the intelligent power supply control system.

[0052] It has positive significance especially for shopping malls, cold storage, etc.

[0053] By staggering the working hours of numerous compressors, the smoothness of the power supply of the power grid is greatly improved, and it is conducive to eliminating the harmonics of the power grid. Even by monitoring the working current waveform of each device, some useless work of the power grid can be eliminated by selecting compressors with complementary waveforms.

[0054] Preparing for grid maintenance:

[0055] When the power grid needs maintenance, the AI ​​central control system sends information about expected power grid maintenance to the intelligent power supply control system.

[0056] Because the intelligent power supply control system has independent control characteristics, it has extremely high accuracy. Even if it is not a large-scale power grid maintenance, but only a small area power grid maintenance, such as community power grid maintenance, industrial area power grid maintenance, it can also respond in a targeted manner in a small area.

[0057] For example, when the intelligent power supply control system is connected to the refrigerator, it can strongly cool down the freezing area before the estimated grid maintenance time, and enter the motor sleep state in advance to prevent the reverse current generated by the inductance effect of the motor from damaging the refrigerator itself or even impacting the grid.

[0058] For example, when the intelligent power supply control system is connected to the aquarium oxygen supply system, a strong oxygen supply can be performed on the aquarium oxygen supply system before the expected power grid maintenance time.

[0059] For example, when the intelligent power supply control system is connected to the charging device, the charging device can be fast charged before the estimated grid maintenance time.

[0060] For example, when the intelligent power supply control system is connected to the air conditioner, it can increase the power of the air conditioner before the estimated grid maintenance time. For example, in the heating state, the heating temperature is increased; in the cooling state, the cooling temperature is reduced. And the motor enters the dormant state in advance to avoid the reverse current generated by the inductance effect of the motor from damaging the air conditioner or even impacting the grid.

[0061] A mobile phone software system is provided, and the mobile phone software system is allowed to control the intelligent power supply control system, and the control level of the mobile phone software system is allowed to be higher than the automatic control level of the AI ​​central control system and the intelligent power supply control system, so that users can take over the control of the power-consuming equipment at any time.

[0062] Furthermore, the intelligent power supply control system also includes an active filter system;

[0063] The active filter system includes a CT current acquisition device and a compensation current management module;

[0064] The CT current acquisition device is a device that collects grid current changes through a current mutual induction circuit, is set at one end of the grid, and has an induction signal output interface for outputting induction waveform data;

[0065] The compensation current management module is a compensation current generating device that uses an IGMT inverter bridge to generate the required compensation current waveform and superimposes it back to the power grid. The compensation current management module has a compensation output terminal and a control input terminal driven by pulse width modulation.

[0066] The data acquisition end of the intelligent power supply control system is connected to the induction signal output interface of the CT current acquisition device, and compensation calculation is performed according to the induction waveform to obtain compensation waveform data;

[0067] The intelligent power supply control system is connected to the control input end of the compensation current management module, controls the compensation current management module to generate a compensation waveform and outputs it to the power grid in a superimposed manner.

[0068] In the above design, the intelligent control system collects the harmonic waveform in the power grid through the CT current acquisition device. After analyzing the harmonics and calculating the real-time compensation waveform data, the compensation current management module is driven by the high-frequency pulse width modulation (PWM) technology to generate the required compensation current waveform, and compensate the power grid for superposition, so as to achieve the purpose of filtering out harmonics and obtaining the ideal load input current.

[0069] The AI ​​central control system of this patent obtains data such as the number, type, and power consumption of electrical equipment to be completed within a time period by connecting to many intelligent power supply control systems. After calculation and optimization, the control scheduling plan is transmitted to each intelligent power supply control system for execution, thereby achieving orderly staggered working hours of electrical equipment, staggered operation of equipment that generates harmonics in the power grid, and simultaneous operation of paired equipment that has a mutual inhibitory effect on power grid harmonics. The beneficial effect of its scheduling is to make the power grid tend to balance.

[0070] Secondly, after the AI ​​central control system obtains the grid maintenance information, it controls the set power consumption operation time period of the power-consuming equipment to arrange work in advance during the grid maintenance period to protect the power-consuming equipment from the impact of grid maintenance.

[0071] Finally, the intelligent power supply control system collects the changes in the current waveform of the smart grid through the current mutual inductance circuit, calculates the real-time compensation current through harmonic analysis, and then generates a compensation current waveform through the compensation current management module to implement compensation superposition on the smart grid, thereby filtering or reducing harmonics and purifying the power grid environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0073] Figure 1 This is a schematic diagram of the AI ​​microgrid working scenario of the present invention;

[0074] Figure 2 It is a schematic diagram of network connection between systems of the present invention;

[0075] Figure 3 It is a working schematic diagram of the active filter of the present invention.

[0076] Explanation of symbols:

[0077] 1. AI central control system; 2. Power grid information collection system; 3. Intelligent power supply control system; 4. Power grid. DETAILED DESCRIPTION

[0078] In order to make the above-mentioned objects, features and advantages of the present invention more clearly understood, the specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings.

[0079] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0080] Secondly, the present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0081] Furthermore, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0082] Reference Figure 1 As shown, the AI ​​microgrid system includes an AI central control system 1 for intelligently scheduling the power consumption of power-consuming equipment, and the AI ​​central control system 1 has a microprocessor system;

[0083] It also includes a power grid information collection system 2 and at least one intelligent power supply control system 3;

[0084] The power grid information collection system 2 is used to obtain power grid power supply information, including at least one type of information including: power grid output, power plant power generation, and power grid maintenance information;

[0085] The microprocessor system is connected to the power grid information collection system 2 to obtain power grid power supply information;

[0086] The intelligent power supply control system 3 is a control system for controlling the operation of electrical equipment, including an intelligent control circuit and a current control module;

[0087] The intelligent control circuit controls the connected current control module;

[0088] The intelligent control circuit runs a power supply time management software module, which selects a power supply time period for the power-consuming equipment according to the power supply information of the power grid, the allocated power consumption operation time period, the type of power-consuming equipment, the working time of the power-consuming equipment, and the time limit for the power-consuming equipment to complete the work;

[0089] The intelligent power supply control system 3 enters the preparation state, requiring the user to input the work completion time, or generating the work completion time according to the device attributes;

[0090] After entering the preparation state and before the work is completed, the time period for working is selected based on information including the power output information of the power grid.

[0091] It also includes a network module, through which the microprocessor system is remotely connected to the intelligent power supply control system 3;

[0092] A microprocessor system and a scheduling management software module running in the microprocessor system form an AI central control system 1;

[0093] The AI ​​central control system 1 serves as the dispatching control center of the power grid 4 and runs a dispatching management software module. The dispatching management software module dispatches a plurality of intelligent power supply control systems 3 through remote networking according to the power supply information of the power grid, sends the power supply information of the power grid and the power operation time period to the intelligent power supply control system 3, and then realizes the AI ​​central control system 1 to control the power consumption of a plurality of power-consuming devices, realizes the optimization of the power supply of the power grid, and then makes the power output of the power grid and the power generation of the power plant tend to the optimized adaptation relationship;

[0094] Before the grid maintenance, grid maintenance information is sent to the AI ​​central control system 1. The grid maintenance information includes the start time and end time of the grid maintenance. The intelligent power supply control system 3 controls the power equipment to work in advance during the grid maintenance period according to the power operation time period set by the power equipment; after the grid maintenance, it waits until the grid maintenance is completed before working.

[0095] In this embodiment, the AI ​​microgrid system includes an AI central control system 1, which is used for data acquisition and storage, signal processing, logical operations, network connection, and control output. The AI ​​central control system 1 is connected to the power grid information acquisition system 2 to obtain power grid power supply information as a basis for signal processing and logical operations. The intelligent power supply control system 3 is bound to the power-consuming equipment and is used to control the operation of the power-consuming equipment.

[0096] The intelligent power supply control system 3 is used to control the power consumption period of the power-consuming equipment. The intelligent power supply control system 3 adopts the high-performance, low-cost, and low-power-consumption stm32 embedded single-chip microcomputer. The power supply time management software module can independently complete the logical operation according to the relevant parameters such as the power grid information, the type of power-consuming equipment, the working time of the power-consuming equipment, and the time limit for the power-consuming equipment to complete the work, and obtain the optimized power supply time period of the power-consuming equipment.

[0097] The intelligent power supply control system 3 needs to collect the work completion time of the electrical equipment, and then select the time period for optimizing the power grid 4 from the time it enters the preparation state to the time the work is completed, such as staggering the peak of the power grid 4, or staggering the maintenance period of the power grid 4.

[0098] The AI ​​central control system 1 is connected to the network module, and forms a central base station of the cellular network through the network module to access multiple intelligent power supply control systems 3, thereby realizing the AI ​​central control system 1 to control the time periods of the power-consuming equipment connected to the power grid 4.

[0099] The working mode and working time of the power consumption equipment are managed by the AI ​​microgrid system. Based on the grid information sent by the grid information collection system 2, the AI ​​central control system 1 combines the type of power consumption equipment, the working time of the power consumption equipment, and the time limit for the power consumption equipment to complete the work, and independently selects the working time plan to optimize the adaptation relationship between the power grid output and the power plant power generation, or avoid grid maintenance.

[0100] Because the AI ​​microgrid system can set a separate power consumption plan for almost every power-consuming device, the control accuracy reaches every tiny power consumption period of every power-consuming device in each area, and serves the power grid 4 to the utmost.

[0101] In this embodiment, power plants and substations publish grid maintenance information to the AI ​​central control system 1 through the grid information collection system 2. The grid maintenance information includes the scope of grid maintenance and the start and end times of grid maintenance. The AI ​​central control system 1 sends the start and end times of grid maintenance to many intelligent power supply control systems 3 within the scope according to the scope of grid maintenance. Each intelligent power supply control system 3 sets the power consumption operation time period for the power-consuming equipment. If the power-consuming equipment falls within the grid maintenance period, the power-consuming equipment is controlled to work in advance. If the power-consuming equipment falls outside the grid maintenance period, the power-consuming equipment is controlled to work after the grid maintenance period ends.

[0102] Reference Figure 1 As described above, the AI ​​central control system 1 and the power grid information collection system 2 are both set at a location in the power plant and the substation; the power grid information collection system 2 has an Internet of Things, which is connected to the power plant and the substation through the Internet of Things, and receives the power plant power generation, power grid output, and power grid maintenance information released by the power plant and the substation.

[0103] In this embodiment, the power grid information collection system 2 includes an ESP32 microcontroller. The ESP32 microcontroller has a built-in Wi-Fi function, which can build an interconnected Internet of Things with the power plant and substation intelligent systems, and receive relevant power grid power supply information from the power plant and substation, including: power plant power generation, power grid output, power grid maintenance information and other at least one type of information.

[0104] Reference Figure 2 As shown, the network module adopts a narrowband Internet of Things communication module; at least two narrowband Internet of Things communication modules are set, one is connected to the AI ​​central control system 1, and the other is connected to the intelligent power supply control system 3, and the two narrowband Internet of Things communication modules form a remote wireless network.

[0105] In this embodiment, the narrowband Internet of Things communication module is a low-power and wide-coverage Internet of Things wireless communication module based on the existing narrowband Internet of Things (NB-IoT) technology. The narrowband Internet of Things has the characteristics of wide coverage, multiple connections, fast speed, low cost, low power consumption, and excellent architecture. A narrowband Internet of Things base station can cover a range of 10km and can support many intelligent power supply control systems 3 to be stably connected to the AI ​​central control system 1.

[0106] Furthermore, the intelligent control circuit also includes a manual input component for setting the completion time of the work of the electrical equipment; the manual input component includes a numeric keypad, and the numeric keypad is a parameter input device adapted to the intelligent control circuit.

[0107] In this embodiment, the numeric keypad is provided with keys with numbers 0 to 9, which can be used to manually set the work completion time of the electrical equipment. By setting the work completion time to the off-peak period through the numeric keypad, it can save electricity costs and help balance the idle load of the power grid 4.

[0108] Furthermore, the AI ​​central control system 1 obtains data such as the number, type, and power consumption of electrical equipment to be completed within a time period through numerous intelligent power supply control systems 3;

[0109] The dispatch management software module is responsible for calculating and optimizing the number, type, power consumption and other data of the power-consuming equipment put into operation in each period, staggering the working time of each power-consuming equipment in the power grid 4 in an orderly manner, arranging the equipment generating harmonics in the power grid 4 to work at off-peak times, and arranging the power-consuming equipment that has a mutual inhibitory effect on the power grid harmonics to work simultaneously;

[0110] And transmit the control information to the intelligent power supply control system 3 to realize control.

[0111] In this embodiment, the AI ​​central control system 1 staggers the working hours of various electrical equipment in the power grid 4 in an orderly manner, which has the beneficial effect of improving the smoothness of the power grid 4; in addition, for equipment that will generate harmonics to the power grid 4 after operation, it is more necessary to orderly coordinate and stagger the work to prevent the superposition of power grid harmonics from causing more serious pollution to the power grid 4, and electrical equipment that generates power grid harmonics that have a mutual offsetting effect are arranged to work in the same period of time.

[0112] Furthermore, the AI ​​central control system 1 will enter the preparation state, and if the electricity consumption exceeds a set value during the period from the time of entering the preparation state to the time of completion of the work, a lower electricity price calculation or reward will be given.

[0113] For the sake of encouragement, users may give the AI ​​central control system a wider time allocation margin.

[0114] Furthermore, the intelligent power supply control system 3 is provided with a work completion time memory function, which is used to automatically call up the memorized work completion time when the electrical equipment enters the ready-to-work state.

[0115] The above design eliminates the need for users to set the work completion time each time, thereby solving the problem of users who are not sensitive to electricity prices being reluctant to handle the work.

[0116] Furthermore, the intelligent power supply control system 3, alone or in interaction with the AI ​​central control system 1, formulates a time-limited strategy to avoid grid maintenance time and complete the work ahead of time.

[0117] Strategies for balancing the power grid:

[0118] For example, there is a charging system for charging electric vehicles. The time when the electric vehicle is connected to the charging system is 6 pm, and the time when the electric vehicle is charged is set to 9 o'clock the next day. The existing charging system automatically charges after being plugged in, and until it is full.

[0119] However, this design can automatically avoid the peak period according to the power supply load of the power grid, and even automatically select the lowest period. Because it has the characteristic of accurately selecting the lowest period, it is beneficial to the power grid system, so it has the conditions to obtain lower prices.

[0120] Similarly, we can optimize the working time periods of electric vehicles that need to be charged, rice cookers, refrigerators, electric kettles that are scheduled at night, washing machines that are allowed to wait, and other equipment through the AI ​​central control system 1.

[0121] For air conditioners, refrigerators and other power-intensive appliances, especially those that are not variable frequency, since the compressor is not always in operation and there are working gaps, the AI ​​central control system 1 can accurately control the start time of each motor through the intelligent power supply control system 3.

[0122] It has positive significance especially for shopping malls, cold storage, etc.

[0123] By staggering the working hours of numerous compressors, the smoothness of power supply of the power grid is greatly improved, and it is conducive to eliminating power grid harmonics. Even by monitoring the working current waveform of each device, some useless work of the power grid can be eliminated by selecting compressors with complementary waveforms.

[0124] Preparing for grid maintenance:

[0125] When the power grid 4 needs maintenance, the AI ​​central control system 1 sends information about expected power grid maintenance to the intelligent power supply control system 3 .

[0126] Since the intelligent power supply control system 3 has independent control characteristics, it has extremely high accuracy. Even if it is not a large-scale power grid maintenance, but only a small area power grid maintenance, such as community power grid maintenance or industrial area power grid maintenance, targeted response can be carried out in the small area.

[0127] For example, when the intelligent power supply control system 3 is connected to the refrigerator, it can cool down the freezing area before the expected grid maintenance time, and enter the motor sleep state in advance to avoid the reverse current generated by the inductance effect of the motor from damaging the refrigerator itself or even impacting the grid 4.

[0128] For example, when the intelligent power supply control system 3 is connected to the aquarium oxygen supply system, a strong oxygen supply can be performed on the aquarium oxygen supply system before the estimated power grid maintenance time.

[0129] For example, when the intelligent power supply control system 3 is connected to a charging device, the charging device can be fast charged before the estimated grid maintenance time.

[0130] For example, when the intelligent power supply control system 3 is connected to the air conditioner, the power of the air conditioner can be increased before the estimated grid maintenance time. For example, in the heating state, the heating temperature is increased; in the cooling state, the cooling temperature is reduced. And the motor enters the dormant state in advance to avoid the reverse current generated by the inductance effect of the motor from damaging the air conditioner or even impacting the grid 4.

[0131] A mobile phone software system is provided, and the mobile phone software system is allowed to control the intelligent power supply control system 3, and the control level of the mobile phone software system is allowed to be higher than the automatic control level of the AI ​​central control system 1 and the intelligent power supply control system 3. This allows users to take over the control of electrical equipment at any time.

[0132] Reference Figure 3 As shown, the intelligent power supply control system 3 also includes an active filter system;

[0133] The active filter system includes a CT current acquisition device and a compensation current management module;

[0134] The CT current acquisition device is a device that collects grid current changes through a current mutual induction circuit, is arranged at one end of the grid 4, and has an induction signal output interface that outputs induction waveform data;

[0135] The compensation current management module is a compensation current generating device that uses an IGMT inverter bridge to generate the required compensation current waveform and superimposes it back to the power grid 4. The compensation current management module has a compensation output terminal and a control input terminal driven by pulse width modulation.

[0136] The data acquisition terminal of the intelligent power supply control system 3 is connected to the induction signal output interface of the CT current acquisition device, and compensation calculation is performed according to the induction waveform to obtain compensation waveform data;

[0137] The intelligent power supply control system 3 is connected to the control input terminal of the compensation current management module, and controls the compensation current management module to generate a compensation waveform and output it to the power grid 4 in a superimposed manner.

[0138] In this embodiment, the intelligent control system collects the harmonic waveform in the power grid 4 through the CT current acquisition device, and after analyzing the harmonics and calculating the real-time compensation waveform data, drives the compensation current management module through high-frequency pulse width modulation (PWM) technology to generate the required compensation current waveform, and compensates and superimposes the power grid 4 to achieve the purpose of filtering out harmonics and obtaining an ideal load input current.

[0139] Furthermore, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described, ie, those features that are not relevant to the best mode of the invention or those features that are not relevant to implementing the invention.

[0140] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

[0141] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. AI microgrid system, characterized by: It includes an AI central control system for intelligently dispatching the power consumption of power-consuming equipment, and the AI ​​central control system has a microprocessor system; It also includes a power grid information collection system and at least one intelligent power supply control system; The power grid information collection system is used to obtain power grid power supply information, including at least one type of information including: power grid output, power plant power generation, and power grid maintenance information; The microprocessor system is connected to the power grid information collection system to obtain power grid power supply information; The intelligent power supply control system is a control system used to control the operation of electrical equipment, including an intelligent control circuit and a current control module; The intelligent control circuit controls the connected current control module; The intelligent control circuit runs a power supply time management software module, which selects a power supply time period for the power-consuming equipment according to the power supply information of the power grid, the allocated power consumption operation time period, the type of power-consuming equipment, the working time of the power-consuming equipment, and the time limit for the power-consuming equipment to complete the work; The intelligent power supply control system enters the preparation state, requiring the user to input the work completion time, or generating the work completion time based on the device attributes; After entering the preparation state and before the work is completed, the time period for working is selected based on information including the power output information of the power grid. It also includes a network module, through which the microprocessor system is remotely connected to the intelligent power supply control system; The microprocessor system and the scheduling management software module running in the microprocessor system form an AI central control system; The AI ​​central control system serves as the dispatching and control center of the power grid. It runs a dispatching management software module. The dispatching management software module dispatches a large number of intelligent power supply control systems through remote networking according to the power supply information of the power grid, and sends the power supply information and power operation time period of the power grid to the intelligent power supply control system, thereby enabling the AI ​​central control system to control the power consumption of a large number of power-consuming devices, optimize the power supply of the power grid, and thus make the power output of the power grid and the power generation of the power plant tend to the optimized adaptation relationship; Before grid maintenance, grid maintenance information is sent to the AI ​​central control system. The grid maintenance information includes the start time and end time of grid maintenance. The time period between the start time and the end time is called the grid maintenance period. The intelligent power supply control system sets the power operation time period of the power-consuming equipment. During the grid maintenance period, the power-consuming equipment is controlled to work in advance; after the grid maintenance, the equipment waits until the grid maintenance is completed before working.

2. The AI ​​microgrid system according to claim 1, characterized in that: The AI ​​central control system and the power grid information collection system are both set up in one location in the power plant or substation; The power grid information collection system has the Internet of Things, which connects power plants and substations, and receives power plant power generation, grid output power, and grid maintenance information published by power plants and substations.

3. The AI ​​microgrid system according to claim 1, characterized in that: The network module adopts a narrowband Internet of Things communication module; At least two narrowband Internet of Things communication modules are set, one is connected to the AI ​​central control system, and the other is connected to the intelligent power supply control system. The two narrowband Internet of Things communication modules form a long-range wireless network.

4. The AI ​​microgrid system according to claim 1, characterized in that: The intelligent control circuit also includes a manual input component for setting the completion time of the work of the electrical equipment; The manual input component includes a numeric keypad, which is a parameter input device adapted to the intelligent control circuit.

5. The AI ​​microgrid system according to claim 1, characterized in that: The AI ​​central control system obtains data such as the number, type, and power consumption of electrical equipment to be completed within a period of time through numerous intelligent power supply control systems; The dispatch management software module is responsible for calculating and optimizing the number, type, power consumption and other data of the power-consuming equipment put into operation in each period, staggering the working time of each power-consuming equipment in the power grid in an orderly manner, arranging the equipment that generates harmonics in the power grid to work at off-peak times, and arranging the power-consuming equipment that has a mutual inhibitory effect on the power grid harmonics to work simultaneously; And transmit the control information to the intelligent power supply control system to realize control.

6. The AI ​​microgrid system according to claim 1, characterized in that: The AI ​​central control system will enter the preparation state and give a lower electricity price calculation or reward if the electricity consumption exceeds a set value during the period from the time the work is prepared to the time the work is completed.

7. The AI ​​microgrid system according to claim 1, characterized in that: The intelligent power supply control system is set with a work completion time memory function, which is used to automatically call the memorized work completion time when the electrical equipment enters the ready-to-work state.

8. The AI ​​microgrid system according to any one of claims 1 to 7, characterized in that: The intelligent power supply control system, alone or in interaction with the AI ​​central control system, formulates time-limited strategies to avoid grid maintenance time and complete the work ahead of time.

9. The AI ​​microgrid system according to claim 1, characterized in that: The intelligent power supply control system also includes an active filter system; The active filter system includes a CT current acquisition device and a compensation current management module; The CT current acquisition device is a device that collects grid current changes through a current mutual induction circuit, is set at one end of the grid, and has an induction signal output interface for outputting induction waveform data; The compensation current management module is a compensation current generating device that uses an IGMT inverter bridge to generate the required compensation current waveform and superimposes it back to the power grid. The compensation current management module has a compensation output terminal and a control input terminal driven by pulse width modulation. The data acquisition end of the intelligent power supply control system is connected to the induction signal output interface of the CT current acquisition device, and compensation calculation is performed according to the induction waveform to obtain compensation waveform data; The intelligent power supply control system is connected to the control input end of the compensation current management module, controls the compensation current management module to generate a compensation waveform and outputs it to the power grid in a superimposed manner.