Edge artificial intelligence-based power control apparatus, edge artificial intelligence-based circuit breaker, power control method using edge artificial intelligence-based power control apparatus, and power control method using edge artificial intelligence-based circuit breaker

Abstract

An edge artificial intelligence-based power control apparatus, according to one embodiment of the present invention, may comprise a processor that: receives first monitoring information on an operation state of each control target from at least one circuit breaker connected to each control target including at least one of a distributed energy resource (DER) or a load; receives, from a cloud-based upper-level control system to which a plurality of power control apparatuses are connected, second monitoring information on an operation state of each of the plurality of power control apparatuses; identifies control information for controlling operation of each control target according to the first monitoring information and the second monitoring information by using an artificial intelligence model for power operation; and transmits the control information to the at least one circuit breaker connected to each control target.

Description

Edge AI-based power control device, edge AI-based circuit breaker, power control method using edge AI-based power control device, power control method using edge AI-based circuit breaker

[0001] The present invention relates to an edge artificial intelligence-based power control device, an edge artificial intelligence-based circuit breaker, a power control method using an edge artificial intelligence-based power control device, and a power control method using an edge artificial intelligence-based circuit breaker.

[0002] Recently, with the development of related technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), smart factories have become a hot topic. A smart factory is a general term for a manufacturing system operated by applying Information and Communications Technology (ICT) combined with digital automation solutions to production processes such as design, development, and manufacturing.

[0003] In workplaces where smart factory technology is applied, labor costs can be reduced as the deployment of workers is not required. Additionally, since multiple processes for product manufacturing are performed continuously, production speed and unit costs can be reduced. As a result, active attempts are being made to apply smart factories in various field situations.

[0004] In particular, with the expansion of the artificial intelligence market, research is actively underway to apply artificial intelligence technology to systems that supply power to loads requiring large amounts of power, such as Distributed Energy Resources (DER) and data centers.

[0005] Nevertheless, when using existing cloud-based artificial intelligence technology to monitor and control the site by utilizing real-time information collected from various sensors installed on-site, communication delays occur, making it difficult to respond immediately to emergencies or raising concerns regarding personal information protection. Furthermore, there are limitations such as cost issues arising from the process of storing and transmitting large amounts of information, and the necessity of network access.

[0006] The objective of the present invention is to provide an edge AI-based power control device with reduced communication delay time and enhanced security, an edge AI-based circuit breaker, a power control method using an edge AI-based power control device, and a power control method using an edge AI-based circuit breaker.

[0007] The objective of the present invention is to provide an edge artificial intelligence-based power control device, an edge artificial intelligence-based circuit breaker, a power control method using an edge artificial intelligence-based power control device, and a power control method using an edge artificial intelligence-based circuit breaker, which can be utilized in a more extended range and operated at an efficient cost.

[0008] In an edge artificial intelligence-based power control device according to one embodiment of the present invention, the device may include a processor that receives first monitoring information regarding the operating state of a control target from at least one circuit breaker connected to a control target including at least one of a distributed energy resource (DER) or a load, receives second monitoring information regarding the operating state of each power control device from a cloud-based upper control system to which a plurality of power control devices are connected, identifies control information for controlling the operation of each control target according to the first monitoring information and the second monitoring information using an artificial intelligence model for power operation, and transmits the control information to a circuit breaker connected to the control target.

[0009] The processor can receive diagnostic information regarding the operating state of the control target identified using the first monitoring information from at least one edge AI-based circuit breaker.

[0010] The processor can generate the control information based on the first monitoring information, the second monitoring information, and the diagnostic information.

[0011] A power control method performed by an edge artificial intelligence-based power control device according to an embodiment of the present invention may include: receiving first monitoring information regarding the operating status of a control target from at least one circuit breaker connected to a control target including at least one of a distributed energy resource (DER) or a load; receiving second monitoring information regarding the operating status of each power control device from a cloud-based upper control system to which a plurality of power control devices are connected; identifying control information for controlling the operation of each control target according to the first monitoring information and the second monitoring information using an artificial intelligence model for power operation; and transmitting the control information to a circuit breaker connected to the control target.

[0012] The step of receiving the first monitoring information may include receiving diagnostic information regarding the operating state of the control target identified using the first monitoring information from at least one edge AI-based circuit breaker.

[0013] The step of transmitting the control information may include the step of generating the control information based on the first monitoring information, the second monitoring information, and the diagnostic information.

[0014] In an edge artificial intelligence-based power control system according to an embodiment of the present invention, the power control device receives first monitoring information regarding the operating state of a control target from at least one circuit breaker connected to a control target including at least one of a distributed energy resource (DER) or a load, receives second monitoring information regarding the operating state of each power control device from a cloud-based upper control system to which a plurality of power control devices are connected, identifies control information for controlling the operation of each control target according to the first monitoring information and the second monitoring information using an artificial intelligence model for power operation, and transmits the control information to a circuit breaker connected to the control target; and may include at least one circuit breaker that identifies diagnostic information regarding the operating state of the control target using the first monitoring information and the control information.

[0015] An edge artificial intelligence-based circuit breaker according to an embodiment of the present invention may include: a sensor unit for acquiring monitoring information regarding the operating status of a control target including a distributed energy resource (DER) or a load connected to the circuit breaker; a communication unit for communicating with a power control device to which the circuit breaker is connected in plurality; a circuit breaker for blocking the power connection to the control target; and a processor for receiving control information for controlling the operation of each control target from the power control device, identifying diagnostic information regarding the operating status of the control target according to the monitoring information and the control information using an artificial intelligence model for monitoring, and determining whether to operate the circuit breaker based on the diagnostic information.

[0016] The above circuit breaker may be a solid-state circuit breaker (SSCB).

[0017] The processor can control the cutoff unit to perform a cutoff operation in priority over the control information when the diagnostic information includes information requesting a power cutoff.

[0018] The above processor can transmit and receive at least one of monitoring information or diagnostic information to another circuit breaker in the power grid connecting the control targets.

[0019] A power control method performed by an edge artificial intelligence-based circuit breaker according to an embodiment of the present invention may include: a step of obtaining monitoring information regarding the operating status of a control target including a distributed energy resource (DER) or a load connected to the circuit breaker; a step of receiving control information for controlling the operation of each control target from a power control device in which a plurality of circuit breakers are connected; a step of identifying diagnostic information regarding the operating status of the control target according to the monitoring information and the control information using an artificial intelligence model for monitoring; and a step of determining whether to operate the circuit breaker based on the diagnostic information.

[0020] The power control method described above may further include a receiving step of controlling to perform a cutoff operation in priority to the control information when the diagnostic information includes information requesting a power cutoff.

[0021] The above power control method may further include the step of transmitting and receiving at least one of monitoring information or diagnostic information to and from another circuit breaker in the power grid connecting the control targets.

[0022] According to one embodiment of the present invention, integrated monitoring of the system at the edge is possible through a power control device, and energy saving, power factor compensation, and power quality improvement are possible through energy management and power quality analysis.

[0023] According to one embodiment of the present invention, it is possible to propose an infrastructure optimization operation using edge artificial intelligence technology, and in particular, to provide efficient facilities using Low Voltage Direct Current (LVDC).

[0024] According to one embodiment of the present invention, the reliability of facility operation can be increased through remote monitoring and diagnosis, and the operation and monitoring of the power distribution system can be performed through a single integrated hardware product.

[0025] According to one embodiment of the present invention, instead of performing data collection and uploading through a central data center or cloud, data collection and uploading are performed at the edge where the data is generated, thereby significantly reducing communication delays. Furthermore, since data is processed locally, there is no need to transmit sensitive data to a public cloud, thus enhancing security.

[0026] According to one embodiment of the present invention, data is processed locally, thereby reducing the amount of data that needs to be sent to the cloud, which reduces the cost of storage space and storage space maintenance, and unlike cloud-based systems, access to the internet is not required, allowing the scope to be extended to remote locations.

[0027] FIG. 1 is a schematic diagram illustrating an edge artificial intelligence-based power control system according to one embodiment of the present invention.

[0028] FIG. 2 is a block diagram illustrating the configuration of an edge artificial intelligence-based power control device according to one embodiment of the present invention.

[0029] FIG. 3 is a block diagram illustrating the configuration of an edge artificial intelligence-based circuit breaker according to one embodiment of the present invention.

[0030] FIG. 4 is a diagram illustrating the operation flowchart of a power control device according to one embodiment of the present invention.

[0031] FIG. 5 is a diagram illustrating the operation flowchart of a circuit breaker according to one embodiment of the present invention.

[0032] FIG. 6 is a diagram illustrating a power grid according to one embodiment of the present invention.

[0033] FIG. 7 is a drawing illustrating a circuit breaker according to one embodiment of the present invention.

[0034] Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings. The detailed description disclosed below, together with the accompanying drawings, is intended to describe exemplary embodiments of the present invention and is not intended to represent the only embodiment in which the present invention can be practiced. In order to clearly explain the present invention in the drawings, parts unrelated to the description may be omitted, and the same reference numerals may be used for identical or similar components throughout the specification.

[0035] FIG. 1 is a schematic diagram illustrating an edge artificial intelligence-based power control system according to one embodiment of the present invention.

[0036] An edge artificial intelligence-based power control system (1) (hereinafter referred to as the system (1)) according to one embodiment of the present invention may include an edge artificial intelligence-based power control device (100) (hereinafter also briefly referred to as the power control device (100)), an edge artificial intelligence-based circuit breaker (10) (hereinafter also briefly referred to as the circuit breaker (10)), and a converter (20). At this time, the circuit breaker (10) of the power control system (1) may also be equipped with an edge artificial intelligence model, which is explained with reference to FIGS. 2 and FIGS. 4, and the case in which the circuit breaker (10) is equipped with an edge artificial intelligence model is explained with reference to FIGS. 3 and FIGS. 5.

[0037] The power control device (100) is a device deployed at a site where power control is required to perform power operation of a control target (30), and is a device equipped with an edge artificial intelligence model. The power control device (100) can be implemented as a computer, a PLC (Programmable Logic Controller), a server, a smartphone, a tablet PC, a smart pad, a laptop, etc. At this time, the control target (30) may include distributed energy resources (DER), loads, etc.

[0038] The circuit breaker (10) (circuit breaker #1, circuit breaker #2, circuit breaker #3, ...) is basically a device that cuts off the power connection to the control target (30). In addition to this basic function, the device is equipped with an edge artificial intelligence model that collects monitoring information regarding the operating state of the control target (30) and control information from the power control device (100) to diagnose the operating state of the control target (30) in real time.

[0039] The circuit breaker (10) may be a solid-state circuit breaker (SSCB), a molded case circuit breaker (MCCB), an air circuit breaker (ACB), etc., and if an edge artificial intelligence model is installed in the circuit breaker (10), any type can be adopted as long as it is implemented to allow the installation of an edge artificial intelligence model. Unlike what is shown in FIG. 1, two or more control targets may be connected to a single circuit breaker (10), and the number of connected control targets and the connection structure can be adopted in various ways.

[0040] The converter (20) (converter #1, converter #2, converter #3, ...) is a device that converts power received through the power control device (100) and supplies it to a control target, and can be implemented as a DC-DC converter or a DC-AC converter.

[0041] At this time, the power control device (100), circuit breaker (10), and converter (20) can each be implemented as modules and implemented as a single piece of hardware.

[0042] The control target (30) (distributed energy resource #1, distributed energy resource #2, ..., load #1, ...) may be a renewable energy system (solar energy, wind energy, hydroelectric energy, etc.), an energy storage system (ESS), a DC industrial facility, a data center, etc., and may be applied in various other ways.

[0043] In addition to this, the system (1) may further include a transformer that converts high-voltage power supplied from a transmission end (grid) into low-voltage, for example, a solid-state transformer (SST).

[0044] The upper control system (200) operates on a cloud basis and is a device that assists in the operation of power of multiple power control systems (1), and can be implemented as a server, etc.

[0045] In the present invention, a method is proposed for operating power of a power control device (100), which is an upper control unit, and monitoring of a circuit breaker (10), which is a lower control unit, based on edge artificial intelligence technology.

[0046] In addition, the present invention proposes a method for controlling a circuit breaker (10) by comprehensively utilizing monitoring information (hereinafter referred to as first monitoring information) received from a circuit breaker (10), which is a lower control unit, and monitoring information (hereinafter referred to as second monitoring information) received from a higher control system (200), which is a higher control unit, based on edge artificial intelligence technology.

[0047] Hereinafter, the configuration and operation of a system (1) according to one embodiment of the present invention will be described in detail with reference to the drawings.

[0048] FIG. 2 is a block diagram illustrating the configuration of an edge artificial intelligence-based power control device according to one embodiment of the present invention.

[0049] A power control device (100) according to one embodiment of the present invention may include an input unit (110), a communication unit (120), a display unit (130), a storage unit (140), and a processor (150). Hereinafter, the communication unit (120), the storage unit (140), and the processor (150) are referred to as the first communication unit (120), the first storage unit (140), and the first processor (150) to distinguish them from the communication unit (12), the storage unit (14), and the processor (15) of the circuit breaker (10) to be described later.

[0050] The input unit (110) generates input data in response to user input of the power control device (100). For example, the user input may be a user input that initiates the operation of the power control device (100), and may also be applied without limitation as long as it is a user input necessary for the power operation of the control target.

[0051] The input unit (110) includes at least one input means. The input unit (110) may include a keyboard, a key pad, a dome switch, a touch panel, a touch key, a mouse, a menu button, etc.

[0052] The first communication unit (120) can communicate with external devices such as a circuit breaker (10), a control target (30), and an upper control system (200) to transmit and receive monitoring information, control information, diagnostic information, and an artificial intelligence model for power operation.

[0053] To this end, the first communication unit (120) can perform wireless communication such as 5G (5th generation communication), LTE-A (Long Term Evolution-Advanced), LTE (Long Term Evolution), Wi-Fi (Wireless Fidelity), Bluetooth, or wired communication such as Ethernet, RS 485, RS 422, RS232, serial communication, LAN (Local Area Network), WAN (Wide Area Network), and power line communication.

[0054] The display unit (130) displays display data according to the operation of the power control device (100). The display unit (130) can display a screen that displays monitoring information, control information, etc., a screen that receives user input, etc.

[0055] The display unit (130) includes a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, an Organic LED (OLED) display, a Micro Electro Mechanical Systems (MEMS) display, and an electronic paper display. The display unit (130) can be combined with the input unit (110) to be implemented as a touch screen.

[0056] The first storage unit (140) stores operation programs of the power control device (100). The first storage unit (140) includes storage with non-volatile properties that can preserve data (information) regardless of whether power is provided, and memory with volatile properties in which data to be processed by the first processor (150) is loaded and data cannot be preserved if power is not provided. Storage includes flash memory, HDD (Hard-Disc Drive), SSD (Solid-State Drive), ROM (Read Only Memory), etc., and memory includes buffer, RAM (Random Access Memory, RAM), etc.

[0057] The first storage unit (140) can store monitoring information, control information, diagnostic information, artificial intelligence models for power operation, etc., and can store computation programs, etc., that are necessary in the process of generating control information.

[0058] The first processor (150) can execute software, such as a program, to control at least one other component (e.g., a hardware or software component) of the power control device (100) and can perform various data processing or operations.

[0059] A first processor (150) according to one embodiment of the present invention receives first monitoring information regarding the operating status of a control target from at least one circuit breaker connected to a control target including at least one of a distributed energy resource (DER) or a load, receives second monitoring information regarding the operating status of each power control device from a cloud-based upper control system connected to a plurality of power control devices, identifies control information for controlling the operation of each control target according to the first monitoring information and the second monitoring information using an artificial intelligence model for power operation, and can transmit the control information to the circuit breaker connected to the control target.

[0060] At this time, the first processor (150) may build an artificial intelligence model for power operation or receive and store a previously built artificial intelligence model for power operation from an external source and use it, and is not limited to either one.

[0061] The first processor (150) communicates with an external server, for example, a Project Management System (PMS), which is a higher-level control system (200) of the power control device (100), and can update an artificial intelligence model for power operation. The Project Management System is run on a cloud artificial intelligence basis and can update the artificial intelligence model for power operation in the form of firmware.

[0062] Meanwhile, the first processor (150) may perform at least some of the data analysis, processing, and result information generation for performing the above operations using at least one of machine learning, neural network, or deep learning algorithms as a rule-based or artificial intelligence algorithm. Examples of neural networks may include models such as CNN (Convolutional Neural Network), DNN (Deep Neural Network), RNN (Recurrent Neural Network), and transformer.

[0063] FIG. 3 is a block diagram illustrating the configuration of an edge artificial intelligence-based circuit breaker according to one embodiment of the present invention.

[0064] A circuit breaker (10) according to one embodiment of the present invention may include a sensor unit (11), a communication unit (12), a blocking unit (13), a storage unit (14), and a processor (15). Hereinafter, the communication unit (12), the storage unit (14), and the processor (15) are referred to as the second communication unit (12), the second storage unit (14), and the second processor (15) to distinguish them from the communication unit (120), the storage unit (140), and the processor (150) of the power control device (100) described above.

[0065] The sensor unit (11) is a device for collecting monitoring information regarding the operating status of a control target (30) connected to a circuit breaker (10), and may include a current sensor, a voltage sensor, a temperature sensor, a thermal imaging sensor (thermal imaging camera), an arc sensor, etc.

[0066] The second communication unit (12) can perform communication with external devices such as a power control device (100), a control target (30), and an upper control system (200) to transmit and receive first monitoring information, diagnostic information, control information, diagnostic information, and an artificial intelligence model for monitoring.

[0067] To this end, the second communication unit (12) can perform wireless communication such as 5G (5th generation communication), LTE-A (Long Term Evolution-Advanced), LTE (Long Term Evolution), Wi-Fi (Wireless Fidelity), Bluetooth, or wired communication such as Ethernet, RS 485, RS 422, RS232, serial communication, LAN (Local Area Network), WAN (Wide Area Network), and power line communication.

[0068] The blocking unit (13) is configured to block the power connection to the connected control target (30). The logic for blocking the power connection varies depending on the circuit breaker; for example, if the circuit breaker (10) is a solid-state circuit breaker (SSCB), the blocking unit (13) may include a semiconductor device.

[0069] The second storage unit (14) stores operation programs of the circuit breaker (10). The second storage unit (14) includes storage with non-volatile properties that can preserve data (information) regardless of whether power is provided, and memory with volatile properties in which data to be processed by the second processor (15) is loaded and data cannot be preserved if power is not provided. Storage includes flash memory, HDD (Hard-Disc Drive), SSD (Solid-State Drive), ROM (Read Only Memory), etc., and memory includes buffer, RAM (Random Access Memory, RAM), etc.

[0070] The second storage unit (14) can store the first monitoring information, diagnostic information, control information, diagnostic information, artificial intelligence model for monitoring, etc., and can store computation programs, etc., necessary for the process of identifying diagnostic information and performing blocking operations.

[0071] The second processor (15) can execute software, such as a program, to control at least one other component (e.g., a hardware or software component) of the circuit breaker (10) and can perform various data processing or operations.

[0072] A second processor (15) according to one embodiment of the present invention receives control information for controlling the operation of the control target from the power control device, identifies diagnostic information regarding the operating state of the control target according to the monitoring information and the control information using an artificial intelligence model for monitoring, and can determine whether the blocking unit operates based on the diagnostic information.

[0073] At this time, the second processor (15) may build an artificial intelligence model for monitoring, or receive and store a previously built artificial intelligence model for monitoring from an external source and use it, but is not limited to either one. The second processor (15) may communicate with an external server, for example, a Project Management System (PMS), which is a higher-level control system (200) of the power control device (100), to update the monitoring model. Alternatively, the second processor (15) may communicate with the power control device (100) to update the monitoring model. The Project Management System or the power control device (100) may update the artificial intelligence model for monitoring in the form of firmware.

[0074] Meanwhile, the second processor (15) may perform at least some of the data analysis, processing, and result information generation for performing the above operations using at least one of machine learning, neural network, or deep learning algorithms as a rule-based or artificial intelligence algorithm. Examples of neural networks may include models such as CNN (Convolutional Neural Network), DNN (Deep Neural Network), RNN (Recurrent Neural Network), and transformer.

[0075] FIG. 4 is a diagram illustrating the operation flowchart of a power control device according to one embodiment of the present invention.

[0076] The power control device (100) of this drawing describes a case where an edge artificial intelligence model is installed in the power control device, as previously described with reference to FIG. 1.

[0077] According to one embodiment of the present invention, the first processor (150) can receive first monitoring information regarding the operating status of the control target (30) from at least one circuit breaker (10) connected to the control target (30) which includes at least one of a distributed energy resource (DER) or a load (S10).

[0078] The first monitoring information is information obtained by measuring the operating state of the control target (30). For example, if the control target (30) is an electric vehicle (EV) charging station, the first monitoring information may include information such as charging time, daily charging amount, discharge time, number of charging units, and unit price per unit. As another example, if the control target (30) is a solar power generation system, it may include information such as solar power generation amount, generation time, and generation efficiency. As yet another example, if the control target (30) is an energy storage system, it may include charging amount, State of Charge (SoC) level, etc. In addition, it may include the required load amount for each load of the control target (30). The first processor (150) may receive the first monitoring information from a circuit breaker (10) including a sensor unit (11). However, in addition to this, the first processor (150) may receive first monitoring information from the control target (30), and the type of information included in the first monitoring information and the receiving path are not limited to any one.

[0079] According to one embodiment of the present invention, the first processor (150) can receive second monitoring information regarding the operation status of each power control device from a cloud-based upper control system (200) to which a plurality of power control devices (100) are connected (S20).

[0080] In the present invention, the upper control system (200) is connected to a plurality of power control devices (100) and can monitor the operating status of the plurality of power control devices (100). At this time, the operating status of the plurality of power control devices (100) may include not only the operating status of each power control device (100) itself, but also the operating status of a circuit breaker (10) connected to each power control device (100) or a control target (30) connected to each circuit breaker (10).

[0081] For example, assume a case where there are 10 circuit breakers clustered in different regions A, B, and C, and a power control device that controls the circuit breakers in each region. If a problem such as a fire or arc occurs in the circuit breaker in region B, the upper control system (200) can transmit second monitoring information regarding the operating status of the power control device in region B to the power control devices in regions A and C.

[0082] According to one embodiment of the present invention, the first processor (150) can identify control information that controls the operation of a control target according to the first monitoring information and the second monitoring information using an artificial intelligence model for power operation (S30).

[0083] The artificial intelligence model for power operation is a model trained to identify control information for connected circuit breakers based on first monitoring information and second monitoring information.

[0084] Control information is information that includes instructions and / or recommendations regarding the control of a circuit breaker (10) or a control target (30), reflecting the overall situation of the power control system (1). For example, it may include instructions such as normal operation, cutoff, or standby for each circuit breaker (10) or control target (30). As another example, if the control target (30) is a distributed energy resource #1 (solar power generation system), it may include recommendations regarding the timing of solar energy sales.

[0085] Standby may mean a state of caution, for example, when the current is in a transient state but is not an emergency situation severe enough to turn on the circuit breaker (10). In the standby state, the first processor (150) can decide whether to cut off after a time delay.

[0086] Meanwhile, the first processor (150) can receive diagnostic information regarding the operating status of the control target (30) from the circuit breaker (10). The diagnostic information is information regarding the safety of the control target (30) connected to the circuit breaker (10) using monitoring information collected by the edge AI-based circuit breaker (10), as will be described later regarding the circuit breaker (10).

[0087] The first processor (150) can generate control information based on the first monitoring information, the second monitoring information, and the diagnostic information. That is, the edge artificial intelligence-based power control device (100) monitors the operating status between all circuit breakers (10) and control targets (30) within the system (1), while the circuit breaker (10) monitors the safety status of each connected control target (30). Thus, the power control device (100) can generate control information by taking into account the diagnostic information of the circuit breaker (10).

[0088] According to one embodiment of the present invention, the first processor (150) can transmit control information to a circuit breaker (10) connected to a control target (30) (S40).

[0089] According to one embodiment of the present invention, integrated monitoring of the system (1) at the edge is possible through the power control device (100), and energy saving, power factor compensation, and power quality improvement are possible through energy management and power quality analysis.

[0090] According to one embodiment of the present invention, it is possible to propose an infrastructure optimization operation using edge artificial intelligence technology, and in particular, to provide efficient facilities using Low Voltage Direct Current (LVDC).

[0091] According to one embodiment of the present invention, the reliability of facility operation can be increased through remote monitoring and diagnosis, and the operation and monitoring of the power distribution system can be performed through a single integrated hardware product.

[0092] According to one embodiment of the present invention, instead of performing data collection and uploading through a central data center or cloud, data collection and uploading are performed at the edge where the data is generated, thereby significantly reducing communication delays. Furthermore, since data is processed locally, there is no need to transmit sensitive data to a public cloud, thus enhancing security.

[0093] According to one embodiment of the present invention, data is processed locally, thereby reducing the amount of data that needs to be sent to the cloud, which reduces the cost of storage space and storage space maintenance, and unlike cloud-based systems, access to the internet is not required, allowing the scope to be extended to remote locations.

[0094] FIG. 5 is a diagram illustrating the operation flowchart of a circuit breaker according to one embodiment of the present invention.

[0095] The circuit breaker in this drawing explains the case where an edge artificial intelligence model is installed in the circuit breaker, as described above with reference to Fig. 1.

[0096] The circuit breaker in this drawing explains the case where an edge artificial intelligence model is installed in the circuit breaker, as described above with reference to Fig. 1.

[0097] According to one embodiment of the present invention, the second processor (15) can receive first monitoring information regarding the operating status of a control target (30) including a distributed energy resource (DER) or a load connected to a circuit breaker (10) (S510).

[0098] The second processor (15) can receive first monitoring information through the sensor unit (11), but is not limited thereto and can receive first monitoring information from an externally installed sensor.

[0099] The first monitoring information is information obtained by measuring the operating state of the control target (30). For example, it may be information obtained by measuring the current generated during the operation of the control target (30), such as the current supplied to the control target (30) from the current sensor among the sensor units (11) or the current supplied from the control target (30). Alternatively, it may be information regarding arc detection measured by an arc sensor or an image obtained from a thermal imaging sensor. Alternatively, it may include information obtained from various sensors, such as the temperature measured through a temperature sensor.

[0100] In addition, the first monitoring information may include information described above with reference to S10 of FIG. 4. As described above, the types of information and reception paths included in the first monitoring information are not limited to any one.

[0101] According to one embodiment of the present invention, the second processor (15) can receive control information from the power control device (100) that controls the operation of each control target (S520).

[0102] Control information is information that includes instructions and / or recommendations regarding the control of a circuit breaker (10) or a control target (30), reflecting the overall situation of the power control system (1). For example, it may include instructions such as normal operation, cutoff, or standby for each circuit breaker (10) or control target (30). As another example, if the control target (30) is a distributed energy resource #1 (solar power generation system), it may include recommendations regarding the timing of solar energy sales.

[0103] Standby can mean a state of caution, for example, when the current is in a transient state but it is not an emergency situation that would cause the circuit breaker (10) to turn on. In the standby state, the decision to cut off can be made after a time delay.

[0104] According to one embodiment of the present invention, the second processor (15) can identify diagnostic information regarding the operating state of the control target (30) according to the first monitoring information and control information using an artificial intelligence model for monitoring (S530).

[0105] An edge artificial intelligence-based circuit breaker (10) according to one embodiment of the present invention can determine whether the circuit breaker (10) is operating by comprehensively considering not only the first monitoring information received from a control target (30) connected to the circuit breaker, but also the control information received from a power control device (100) connected to an upper level.

[0106] Diagnostic information is information obtained by diagnosing the operating state of a control target (30) connected to a circuit breaker (10) through monitoring. Diagnostic information is information that includes the current operating state of the control target (30) using first monitoring information obtained by direct measurement and control information received from a power control device (100). The operating state may be a normal operating state, an accident warning state, an accident risk state, etc., or may refer to the current quality, energy quality, etc. of the control target (30). At this time, the second processor (15) can generate diagnostic information using an artificial intelligence model for monitoring. The artificial intelligence model for monitoring is a model trained to generate diagnostic information based on monitoring information.

[0107] For example, as illustrated in FIG. 1, it is assumed that the control target (30) connected to the system (1) is distributed energy resource #1, distributed energy resource #2, and load #1. The diagnostic information may include information indicating that the photovoltaic power generation system is operating normally in the case of distributed energy resource #1 (photovoltaic power generation system) among the control targets (30). At this time, the second processor (15) can determine whether the photovoltaic power generation system is operating normally through the current, arc, thermal image, etc. measured in the photovoltaic power generation system.

[0108] Alternatively, in the case of distributed energy resource #2 (energy storage system), the diagnostic information may include information indicating that the energy storage system is in a state of alert. In this case, the second processor (15) can determine whether the energy storage system is in a state of alert based on whether the current measured in the energy storage system is in a transient state.

[0109] Alternatively, the diagnostic information may include information indicating that the electric vehicle charging station is in an emergency situation in the case of Load #1 (electric vehicle charging station). In this case, the second processor (15) can determine whether the electric vehicle charging station is in an emergency situation based on the current, thermal image, temperature, etc. measured at the electric vehicle charging station.

[0110] According to one embodiment of the present invention, the second processor (15) can determine whether to operate the blocking unit (13) based on diagnostic information (S540).

[0111] According to the above example, the second processor (15) can control the circuit breaker (13) so that the circuit breaker connected to distributed energy resource #1 operates in an off operation (normal operation), the circuit breaker connected to distributed energy resource #2 operates in an off operation (standby operation), and the circuit breaker connected to load #1 operates in an on operation (blocking operation). At this time, in the case of distributed energy resource #2, the operation of the circuit breaker (13) can be additionally determined after a time delay.

[0112] Meanwhile, as described above, the second processor (15) can transmit first monitoring information and diagnostic information for the efficient operation of the power control device (100), and conversely, can receive control information based on the first monitoring information, second monitoring information and diagnostic information from the power control device (100).

[0113] However, the second processor (15) may control the cutoff unit (13) to perform a cutoff operation in priority over the control information when the diagnostic information includes information requesting a power cutoff. This is because the second processor (15) monitors safety issues of the control target (30) connected to the circuit breaker (10) with a focus on safety issues, and even if the operation of a specific control target is efficient in terms of overall operation, it may be necessary to cut off the power to the control target for safety reasons. In this case, in emergency situations, the diagnostic information is applied in priority over the control information so that safety issues can be prioritized.

[0114] According to one embodiment of the present invention, the power control device (100) and the circuit breaker (10) can complementarily ensure the operation and safety of the system.

[0115] According to one embodiment of the present invention, power equipment diagnosis and power system monitoring are possible for each control target (30), and through monitoring, accidents such as fire, arc, and system insulation due to heat / temperature can be prevented in advance.

[0116] According to one embodiment of the present invention, instead of performing data collection and uploading through a central data center or cloud, data collection and uploading are performed at the edge where the data is generated, thereby significantly reducing communication delays. Furthermore, since data is processed locally, there is no need to transmit sensitive data to a public cloud, thus enhancing security.

[0117] According to one embodiment of the present invention, data is processed locally, thereby reducing the amount of data that needs to be sent to the cloud, which reduces the cost of storage space and storage space maintenance, and unlike cloud-based systems, access to the internet is not required, allowing the scope to be extended to remote locations.

[0118] FIG. 6 is a diagram illustrating a power grid according to one embodiment of the present invention.

[0119] Figure 6 illustrates a Low Voltage Direct Current (LVDC) system.

[0120] The edge artificial intelligence-based power control system (1) converts high-voltage power supplied from a medium-voltage direct current grid (transmission end) into low voltage suitable for an LVDC power grid using a semiconductor transformer (SST).

[0121] The power control device (100) can identify control information of the circuit breaker and the control target by using first monitoring information received from each control target (renewable energy, DC industrial facility, DC Data Center, Electric Vehicle, ESS system, AC load) and the circuit breaker (SSCB) connected to each control target, and second monitoring information received from the upper control system (200).

[0122] Each circuit breaker can diagnose the operating status of a control target connected to each circuit breaker using monitoring information obtained from an internal / external sensor and control information received from a power control device (100), and determine whether to cut off the power connection to each control target.

[0123] The converter can convert power to be supplied to a control target according to whether the circuit breaker operates, which is determined through control information of the power control device (100), diagnostic information of the circuit breaker, etc.

[0124] FIG. 7 is a drawing illustrating a circuit breaker according to one embodiment of the present invention.

[0125] Figure 7 is a diagram showing some of the circuit breakers connected to the LVDC power grid of Figure 6.

[0126] Breaker 1 (710) and breaker 2 (720) may each include a temperature and humidity sensor (711, 721), an infrared sensor (712, 722), a point light sensor (713, 723), and a loop light sensor (714, 724). However, it is obvious that breaker 1 (710) and breaker 2 (720) can receive first monitoring information from various sensors in addition to the sensors shown in FIG. 7.

[0127] Circuit breakers 1 (710) and 2 (720) can identify diagnostic information using the first monitoring information, and can share the monitoring information obtained from each circuit breaker or the diagnostic information identified by it through a communication connection between the circuit breakers.

Claims

1. In an edge artificial intelligence-based power control device, Receiving first monitoring information regarding the operating status of a control target from at least one circuit breaker connected to a control target including at least one of a Distributed Energy Resource (DER) or a load, and The above power control device receives second monitoring information regarding the operating status of each power control device from a cloud-based upper control system to which multiple power control devices are connected, and Using an artificial intelligence model, control information for controlling the operation of each control target according to the first monitoring information and the second monitoring information is identified, and A power control device comprising a processor that transmits control information to a circuit breaker connected to the above-mentioned control target.

2. In Paragraph 1, The above processor is, A power control device that receives diagnostic information regarding the operating status of the control target identified using the first monitoring information from at least one edge artificial intelligence-based circuit breaker.

3. In Paragraph 2, The above processor is, A power control device that generates control information based on the first monitoring information, the second monitoring information, and the diagnostic information.

4. A power control method performed by an edge artificial intelligence-based power control device, A step of receiving first monitoring information regarding the operating status of a control target from at least one circuit breaker connected to a control target comprising at least one of a Distributed Energy Resource (DER) or a load; A step of receiving second monitoring information regarding the operating status of each power control device from a cloud-based upper control system to which the above power control devices are connected in plurality; A step of identifying control information that controls the operation of each control target according to the first monitoring information and the second monitoring information using an artificial intelligence model; A power control method comprising the step of transmitting control information to a circuit breaker connected to the above-mentioned control target.

5. In Paragraph 4, The step of receiving the first monitoring information is, A power control method comprising the step of receiving diagnostic information regarding the operating state of the control target identified using the first monitoring information from at least one edge artificial intelligence-based circuit breaker.

6. In Paragraph 5, The step of transmitting the above control information is, A power control method comprising the step of generating control information based on first monitoring information, second monitoring information, and diagnostic information.

7. In edge AI-based power control systems, A power control device that receives first monitoring information regarding the operating status of a control target from at least one circuit breaker connected to a control target including at least one of a Distributed Energy Resource (DER) or a load, receives second monitoring information regarding the operating status of each power control device from a cloud-based upper control system to which a plurality of power control devices are connected, identifies control information for controlling the operation of each control target according to the first monitoring information and the second monitoring information using an artificial intelligence model, and transmits the control information to the circuit breaker connected to the control target; A power control system comprising at least one circuit breaker that identifies diagnostic information regarding the operating state of the control target using the first monitoring information and the control information.

8. In edge AI-based circuit breakers, A sensor unit for acquiring monitoring information regarding the operating status of a control target including a Distributed Energy Resource (DER) or a load connected to the circuit breaker; A communication unit that communicates with a power control device to which the above circuit breaker is connected in multiple ways; A blocking unit for blocking power connection to the above-mentioned control target; and A circuit breaker comprising a processor that receives control information for controlling the operation of each control target from the power control device, identifies diagnostic information regarding the operating state of the control target according to the monitoring information and the control information using an artificial intelligence model, and determines whether to operate the blocking unit based on the diagnostic information.

9. In Paragraph 8, A circuit breaker characterized in that the above circuit breaker is a solid-state circuit breaker (SSCB).

10. In Paragraph 8, The above processor is, A circuit breaker that controls the circuit breaker to perform a circuit breaker operation in priority over the control information when the above diagnostic information includes information requesting a power cutoff.

11. In Paragraph 8, The above processor is, A circuit breaker that transmits and receives at least one of monitoring information or diagnostic information to another circuit breaker in a power grid connecting control targets.

12. A power control method performed by an edge artificial intelligence-based circuit breaker, A step of obtaining monitoring information regarding the operating status of a control target including a Distributed Energy Resource (DER) or a load connected to the circuit breaker; A step of receiving control information for controlling the operation of each control target from a power control device in which multiple circuit breakers are connected; A step of identifying diagnostic information regarding the operating state of the control target according to the monitoring information and the control information using an artificial intelligence model; A power control method comprising the step of determining whether the blocking unit operates based on the above diagnostic information.

13. In Paragraph 12, A power control method characterized in that the above circuit breaker is a solid-state circuit breaker (SSCB).

14. In Paragraph 12, A power control method further comprising a receiving step of controlling to perform a cutoff operation in priority to the control information when the above diagnostic information includes information requesting a power cutoff.

15. In Paragraph 12, A power control method further comprising the step of transmitting and receiving at least one of monitoring information or diagnostic information to and from another circuit breaker in a power grid connecting the control targets.

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