Why is digitization essential for new electricity?
The use of sensors, IoT, big data, artificial intelligence, and other technologies, combined with digital twin technology, enables comprehensive monitoring and management of the power grid. Collecting real-time data to help analyze the various variables in the grid: voltage, current, temperature, power, etc. will identify potential problems and take action in a timely manner.
Main applications include:
When the digital twin detects excessive current in a component of the grid, it can sound an alarm and recommend overhaul or replacement. Simulates the operational status of the grid to detect faults and diagnose them in time.
Collecting large amounts of grid data to predict future load demand, the digital twin can autonomously adjust generator parameters to optimize generation efficiency when it detects that a power station is less efficient. The digital twin grid can simulate the operating state of the grid and optimize and control it through artificial intelligence technology.
As shown in the figure above, multi-dimensional, real-time, dynamic presentation of virtual power plant access to various types of load resources (such as small hydropower, solar power generating units, street lighting systems, commercial building air conditioning, industrial enterprises energy equipment, 5G base stations, shore power resources, etc.) operation of the real-time state and the trend of changes in technical parameters; display of the virtual power plant operation and scheduling process as well as the assessment of the indicators of the information to show the virtual power plant various types of It also displays the operation scheduling process of virtual power plant and the information of evaluation indexes to show the change trend of technical parameters of various types of load resources in virtual power plant, so as to fully support the operation decision-making of virtual power plant with visualization technology.
Establishing a digital twin model - virtual power plant, simulating the operation status and behavior of the real power grid. Deploy sensors and monitoring devices, such as smart meters, current sensors, temperature sensors, etc. in the power grid. The collected data will need to be analyzed and processed for intelligent control and optimization. The digital twin model and real-time data will then be used to build an intelligent control system to achieve intelligent control of the grid for load prediction and optimization.
The load resources accessed by the virtual power plant include the charging system of the charging station, and this page, through data collection, real-time, dynamic display of the charging system status monitoring, including the amount of equipment charging and discharging on the day, the power of the equipment as well as the on-line status information of each device. Among them, the regulation power infographic can show the planned target regulation power and the actual regulation power. Through the real-time calculation of power deviation rate, business personnel can intuitively view the virtual power plant control power business content, real-time, intuitive and convenient.
Negative control implementation of the business part of the content is mainly recorded in each year load control implementation records, through efficient, smooth, simple, beautiful design page to show. It comprehensively grasps the load control implementation situation, including real-time load monitoring, load pressure drop result analysis, etc.. Real-time load monitoring refers to the monitoring of actual load curves, baseline load curves, target load curves, and the execution of control orders in each network province by the headquarters during the load control execution process.
The emergence of digital twin intelligent substation changes the traditional substation operation and maintenance mode, realizes the transformation of substation intelligence and greening, accelerates the construction of "unattended + centralized control" substation operation and maintenance of the new mode of transformation and upgrading, and also promotes the development of the smart grid.
Today Hightopo lightweight 3D visualization scene, the establishment of dynamic digital substation model, digital twin substation visualization system. Multi-dimensional presentation of substation operation and maintenance scenarios to achieve real-time monitoring of substation operation status, operation and maintenance equipment, control systems and information systems interconnection. Strengthen the full state perception and control of substation equipment, enhance the ability of substation safety production guarantee, and improve the level of lean management of operation and inspection.
Through 3D visualization technology, it shows the entire circuit direction of voltage transformer and current transformer power supply, and simulates the effect of current flow by combining technological elements to realize the monitoring, measuring, controlling and regulating of the operating conditions of primary equipment (transformers, circuit breakers, disconnecting switches, and other equipments directly used for the production and use of electric energy).
Through the 3D virtual simulation of transformer assembly animation, the working principle of transformer equipment and the assembly process is introduced, and the composition and installation position of the main components of the transformer are visually demonstrated, accompanied by a text description of its main characteristics, realistic and with a sense of technology brought in. Developed by HT, this 3D visualization system can be used as a simulation training material for on-site installation and maintenance of transformers, and can efficiently and conveniently teach new employees the working principles of transformers.
The digital twin is running a thermal power plant, building a digital operation platform, carrying out factory-type fine digital management of the power plant, and improving the enterprise's ability to digitally manage the entire power plant business.
Based on the UWB positioning base station or other positioning hardware foundation, the real-time positioning visualization function of the employees in the plant is realized in the 3D scene. Deploying the visualization management system in the centralized control center, the managers can monitor the position of the staff on duty in the plant in real time, and through the interaction of the scene, they can intuitively view the staff information, contact information, action trajectory and other data.
The visualization builds a full-coverage visualization scene without dead angle in the complex environment of thermal power plants, develops and applies intelligent power generation control technology in depth, enhances the comprehensive capabilities of power generation enterprises in intelligent management and control, intelligent operation, intelligent safety monitoring, intelligent analysis and remote diagnosis, and builds an innovative management and operation mode of future-oriented intelligent coal-fired power generation.
The three-dimensional scene in the plant area is set up with video monitoring points indoors and outdoors, with obvious icons showing their locations. This case uses monitoring equipment that supports the identification of personnel behavior, which can capture and alarm violations such as helmet wear, work clothes attire, and answering phone calls, and record them in the camera alarm record. The monitoring points with alarm information will show obvious alarm effect, which supports managers to click to view the real-time monitoring images and capture records in time.
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Under the new power system, the power grid operation is gradually showing the characteristics of intelligence and digitalization. The development of "source network, storage and load integration" operation urgently needs "cloud, big things, move intelligent chain edge" which cloud computing, big data, power Internet of Things, edge computing and other technical means, so that the grid system is equipped with the ability to have massive data processing and analysis, a high degree of intelligent decision-making, such as the cloud! solutions. In order to realize the integration of various types of energy resources, to open up the barriers between energy links, so that the "source network storage" elements really do friendly cooperation.
The Web's intelligent "dual-carbon" microgrid scenario is digitally twinned to effectively realize integrated control of source, grid, load and storage. The overall scene adopts a lightweight modeling approach, focusing on the smart park grid connection around the source, network, load, storage of the four aspects of the equipment and building modeling restoration, to bring users a "cyberpunk" visual experience. By adopting a lightweight re-modeling approach, designers have the space to play "design" and show more aesthetic creativity.
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Through the complete reproduction of the park's energy system, it realizes the integrated control of distributed photovoltaic power generation system, energy storage system, solar energy + air source heat pump hot water system. Through the intelligent energy management system, it realizes building energy efficiency management, comprehensive energy saving management and "source network, load and storage" synergistic operation.