KR20210074587A - Communication system apparatus - Google Patents

Abstract

According to the present invention, a smart grid is an intelligent power grid system capable of increasing efficiency by allowing a supplier and a consumer to interact with each other through electricity product, transfer and consumption procedures combined with information communication technology (ICT). A system apparatus for communication between electric power units is introduced based on real-time data employing digital twin technology to build an optimal intelligent power grid system. A communication system, which is necessarily demanded, applies data of a physical space to a virtual space based on the digital twin technology to simulate a virtual smart grid facility, and then, reapplies the same data to real-time driving on the smart grid facility, thereby enabling intelligent driving considering real-time information about optimized installation for building a smart grid facility, and the supply and demand of electric power as well as state information about facilities such as generation, transmission/distribution, and storage facilities and the like at the same time.

Description

Smart grid facility digital twin-based communication system device between power devices {COMMUNICATION SYSTEM APPARATUS}

The present invention is a specialized communication device for operating a system state change for energy production, demand, charging and discharging as clearly quantified data based on actual information on facilities, environment, physical conditions and states, etc. in smart grid construction and system structure.

Basically, all information acquired through sensors or facilities is connected through a gateway so that it can be converted into an integrated energy operation data format provided in advance. This information is finally provided to the analysis engine in charge of digital twin-based simulation, and predictive information is derived based on the analysis of this information. After that, it can be used as prior information in the process of planning all smart grids, and it can be predicted through the simulation process by changing the physical environment state arbitrarily, so that various situations that may occur in advance can be actively managed. It is possible to predict accidents, aging, and breakdowns that may occur due to long-term operation, and smart grid design modeling and analysis modeling can be easily derived only by changing conditions in virtual space.

Digital twin is a technology to obtain accurate information about the characteristics of real assets by creating twins in the virtual world with objects or environments in the real (physical) world on a computer, and simulating situations that may occur in reality with a computer. say Since it is possible to know the various states, productivity, and operation scenarios of real assets, it is attracting attention recently as it can maximize efficiency across production and service in various industries.

A digital twin is similar to a digital mock-up in that it creates a duplicate. However, unlike mock-ups, which become obsolete once the product design is complete and production and sales occur, digital twins persist beyond the product is complete, and the state data it collects can be made available to users of the product. have

In the energy field, digital twin technology can be used to design the largest power generation facility and smart grid, optimize power production during the life cycle, and improve maintenance efficiency through preventive maintenance services through identification of abnormalities. Accordingly, it is possible to virtualize the smart grid and optimize energy operation through simulation based on the information collected in real time for various operation scenarios.

The smart grid is an intelligent power grid system that enhances efficiency by integrating information and communication technology (ICT) into the production, transport and consumption process of electricity, through interaction between suppliers and consumers. In order to build an optimal intelligent power grid system, a communication system device between power devices is introduced based on real-time data applied with digital twin technology.

By applying the data of the physical space to the digital twin-based virtual space to simulate the virtual smart grid facility, and then applying the data to the real-time operation of the smart grid facility, optimized installation, power supply and demand for smart grid facility construction A communication system that enables intelligent operation that simultaneously considers not only real-time information on power generation, transmission and distribution, and state information on facilities such as storage facilities is essential.

1. Smart Grid System Structural Diagram

2. Energy IoT communication product composition

3. Communication link structure

4. Communication protocol configuration

Scope to be claimed by the present invention

claim 1

Virtualizing the real (physical) world facility and sensor information by connecting it to a computing system;

collecting internal data of the equipment on a fixed time axis;

A digitization method comprising: constructing a data map by utilizing the acquired internal data and simulating the virtualized time series information in a virtual space.

claim 2

The method according to claim 1,

Feeding back the simulation results; Equipment management method comprising additionally.

claim 3

3. The method according to claim 2,

The internal data, equipment management method, characterized in that it includes at least one of state data, operation data, history data, and quality assurance data of the equipment.

claim 4

The method according to claim 1, comprising acquiring external data of the equipment;

The simulation step is a device management method, characterized in that by using the acquired internal data and external data to simulate the virtualized equipment.

claim 5

The method according to claim 1,

Based on the simulation result, comparing and analyzing the remaining life of the parts of the equipment with the actual state, the step of identifying and confirming; Equipment management method comprising a further comprising.

claim 6

The method according to claim 1,

Based on the simulation result, predicting the failure of the equipment; Equipment management method further comprising a.

claim 7

7. The method of claim 6,

The failure prediction stage is

Extracting factors used for failure prediction, and predicting equipment failure using the extracted factors.

claim 8

a communications unit that communicates with real-world equipment;

A computing system comprising: a processor that virtualizes equipment in the real world, collects internal data of the equipment through a communication unit, and simulates the virtualized equipment using the acquired internal data.

claim 9

a setting unit for setting power-related parameters of an analysis target;

and a generation unit generating power management data of the analysis target by using the parameters.

claim 10

10. The method of claim 9,

The generating unit simulates an ideal pattern corresponding to the power usage pattern of the analysis target in a virtual digital twin environment by using the parameter, and generates the power management data according to the ideal pattern.

claim 11

According to claim 1,

The setting unit includes a reality parameter setting unit for setting a reality parameter related to the supply means installed in the analysis target, a user parameter setting unit for setting a user parameter related to the consumption means installed in the analysis target, and a usage pattern of the consumption means A digital twin device including an event parameter setting unit for setting event parameters.

claim 12

10. The method of claim 9,

The setting unit includes a first setting unit for setting an event parameter according to a deterministic method, and a second setting unit for setting an event parameter according to a probabilistic method.

a plurality of power device control modules for turning on/off a plurality of power devices or controlling the amount of power applied to each of the power devices;

a management module that enables the power device control modules to control each power device using wireless Internet communication and stores and transmits/receives a control state of each power device; and at least one mobile communication device capable of controlling the management module and the power device control module while allowing users to monitor the control status of the respective power devices using wireless Internet communication,

Each power device control module manually or remotely turns on/off the commercial power applied to each power device, or dims the current and voltage supplied to each power device to control the amount of power consumed by the power device. Power quantity control unit to regulate.

at least one human body detection sensor that transmits a human body detection signal;

At least one illuminance sensor for detecting and transmitting brightness information in real time At least one camera for transmitting photographed image data, and two-way communication control command with the human body detection signal, the image data, the brightness information, and the management module and a controller for controlling the power amount control unit according to the method, wherein the management module transmits the state information, the brightness information, and the image data of the respective power devices processed from the power device control module to the user's mobile communication device. In addition to supplying, a first control unit that controls the power device control module through a two-way communication control command according to a control command from a user, and an automatic control situation caused by artificial power device control, short circuit and leakage of other users and a management server for supplying text message information to the user's mobile communication device.

Information transmitted from a plurality of equipment and sensors included between each system according to various configurations of the smart grid system is collected in real time, and the collected information is measured (information collection), monitoring, simulation, and optimization control through a communication system device. proceed Outputs smart grid information corresponding to the information input to the smart grid in real time to the digital twin modeling of the virtual world through the digital twin of the device, and matches the information of the smart grid environment received from the device to the 3D digital twin A digital twin appliance device that updates modeling information by

Performs real-time communication with the digital twin-based device and receives the updated modeling information to optimize operation in the smart grid

The device information in the smart grid is a home appliance control system using a bidirectional power communication network, characterized in that it includes unique identification information, power consumption and standby power.

The control connection information is a home appliance control system using a bidirectional power communication network, characterized in that it includes security information for blocking access of unregistered terminals by matching the power device information with the terminal information of the mobile terminal.

When the power device is in a standby power state, the smart power cut-off device is a home appliance control system using a bidirectional power communication network, characterized in that cut off the power.

Claims (2)

devices constituting the smart grid facility;
a simulation execution unit that collects information of the devices and simulates in a virtual space based on digital twin technology;
an energy management system that applies the simulated results to actual smart grid facilities; and
It includes a gateway that converts the collected information into an integrated energy operation data format,
The integrated energy operation data is data obtained by converting information collected by device type or by converting information collected for each device,
The device is a smart grid system optimization management device based on digital twin technology including sensors, instruments, facilities, and equipment for smart grid facilities. Collecting information from various devices provided in the actual smart grid facility;
Simulation of the collected information in a virtual space based on digital twin technology; and
It consists of analyzing the simulation results performed and actually applying them to smart grid facilities.
An optimization management method of a smart grid system based on digital twin technology that applies the simulation results to power supply and demand, power generation, transmission and distribution, and operation of storage facilities, and predicts device accidents, aging, and failure levels.