Therefore, digital power grid will become the best form to carry new power system!
In order to realize this series of energy changes, create an energy revolution and achieve the "double carbon goal", we must take the digital road, build a digital power grid and reshape the energy industry with digital technology and ideas.
From the aspect of energy supply, it is an inevitable trend for new energy to replace traditional energy, and in the process of replacing new energy, digital power grid is needed to overcome the problems caused by the effective utilization of new energy to a great extent. The biggest feature of new energy is its strong volatility and intermittence, which is simply "instability". The digital power grid can expand the function of operation monitoring and the timeliness of active adjustment from the multi-modal sensor measurement data and intelligent system management, improve the controllability and absorption capacity of new energy, realize "friendly access" of new energy through automatic power limiting and fast frequency response, and implement more effective, scientific and systematic scheduling policies for new energy through technologies such as big data.
Using the HT engine independently developed, it provides visual transformation for many traditional power industry control management, dispatching upgrade and other business functions, and provides visual solutions for intelligent virtual power plant negative control. With its lightweight modeling and powerful visualization engine technology, many smart power plant visualization platforms with self-coordination, self-management and self-control have been built and deployed.
The visual management system of negative control system is a comprehensive analysis and processing system with the core of comprehensively strengthening power information management and integrating multiple functions such as load control, remote meter reading, power data analysis and monitoring, and power marketing management. Digital pairing technology uses digital technologies such as big data, cloud computing and artificial intelligence to model the characteristics, behaviors, processes and performance of physical entities of distributed resources, which is an ideal way to realize the operation optimization of virtual power plants and load systems.
The main scene of the virtual power plant load control system is constructed, and the models of six districts and power plants in Tianjin are restored and displayed with high precision through lightweight modeling by using the powerful rendering function of the self-developed graphics engine. Based on the high performance of HT for Web, the whole scene modeling relies on the material of PBR physical rendering, which makes the rendering result very realistic.
The comprehensive analysis page of virtual power plant resources mainly consists of modules such as registration supervision ratio, classification registration supervision ratio of power end users, and classification billing ratio of power end users. This paper mainly counts the classified proportion data of various industries, users and adjustable load resources, and constructs the data type of virtual power plant resource pool through the intuitive display of data panel.
The data panels on both sides of the screen show key indicators and parameters such as power generation management, power generation trend of the day, annual call, load management and regulation ability. The collected data are converted into graphic information, and the key business data of the virtual power plant are displayed intuitively through HT visual graphics combined with data.
The core purpose of the panoramic operation effect decision function is: using the powerful rendering function of HT self-developed graphics engine and high-performance WebGL technology, multi-dimensionally, real-time and dynamically present the real-time operation state and technical parameter change trend of various load resources (such as small hydropower, solar generator set, street lamp system, commercial building air conditioning, industrial enterprise energy equipment, 5G base station, shore power resources, etc.). ) connected to the virtual power plant; The operation scheduling process and evaluation index information of virtual power plant are displayed, and the changing trend of technical parameters of various load resources of virtual power plant is displayed, so as to fully support the management decision of virtual power plant with visualization technology.
Micro-grid-source network load storage wisdom "double carbon" micro-grid scene digital twin, effectively realize the integrated management and control of source network load storage. The whole scene adopts lightweight modeling method, focusing on modeling and restoring the equipment and buildings in four aspects of power grid connection in smart park, and supporting 360-degree observation of dynamic data stored in each link of virtual park internal network. Through its own interaction, the mouse can rotate, translate and zoom, and at the same time, the touch screen device can rotate with one finger, zoom with two fingers and translate with three fingers, without worrying about different cross-platform interaction methods.
The integrated management and control of distributed photovoltaic power generation system, energy storage system and solar energy+air source heat pump hot water system can be realized by completely replicating the park energy system. Through the smart energy management system, we can realize the coordinated operation of building energy efficiency management, comprehensive energy saving management and "source, network and storage".
"Integration of source, network, load and storage" is an operation mode and technology that can make maximum use of energy resources. Through various forms of interaction, such as source complementarity, source-network coordination, network load interaction, network storage interaction, source-load interaction, etc., the power dynamic balance ability of the power system can be improved more economically, efficiently and safely.
Intelligent charging pile Intelligent electric vehicle charging or intelligent charging refers to a system in which electric vehicles and charging equipment * * * enjoy data connection, and charging equipment and charging operator * * * enjoy data connection. Different from traditional charging equipment, intelligent charging system will intelligently monitor, manage and limit the use of its equipment to optimize energy consumption. Through HT for Web, a lightweight intelligent charging station is designed in the form of mapping, which can get rid of the limitation of hardware equipment and realize the monitoring of charging piles at any time. Simulate the charging process of vehicles entering the station, and display the charging times, current power, charging amount and battery life of intelligent charging piles; When the vehicle has an electromagnetic fault, a flashing red box will appear to remind the station operation and maintenance personnel.
The control of intelligent charging system for equipment includes simple on-off charging, one-way vehicle control (V 1G), allowing to increase or decrease the charging rate, technically challenging two-way vehicle-to-network (V2G), and allowing electric vehicles to provide services to the power grid in discharge mode.
Intelligent substation also provides a solution to display all substation points in combination with GIS map. HT's positioning for Web GIS products lies in the rich visual display of geographic information system (GIS) data by using the powerful visualization technology of products, so as to realize the presentation of a large number of substation point data on three-dimensional maps. The advantage of using GIS is that more map details can be loaded through LOD, and the specific location of each substation can be directly known.
Through the three-dimensional virtual simulation of transformer assembly animation, this paper introduces the working principle and assembly process of transformer equipment, intuitively shows the composition and installation position of main components of transformer, and introduces its main characteristics with text descriptions, which is realistic and scientific. This three-dimensional visualization system independently developed by HT can be used as a simulation training material for on-site installation and maintenance of transformers, which can effectively and conveniently realize the teaching of transformer working principle for new employees.
The three-dimensional visualization system of substation gathers all kinds of complex management system information in the virtual simulation environment to construct the presentation of the whole substation scene. Through the combination of intelligent data analysis, artificial intelligence inspection, real-time monitoring and alarm, the operation and maintenance personnel can monitor and manage more efficiently, so as to achieve the purpose of reducing costs and increasing efficiency. Based on years of project experience and solid visual technical support, we can carry out efficient customized design and development according to business needs and contribute to industry construction.
Digital power grid makes transmission network an intelligent system. Through intelligent coordinated dispatching, the operation efficiency and safety of the five processes of power generation, transmission, substation, distribution and electricity consumption in the whole power grid are improved. Moreover, the feeder automation system gives the power grid its own active intelligent diagnosis ability, which also greatly improves the toughness of the whole power grid.
More importantly, digital power grid is not only an intelligent and efficient transmission network, but also an electric energy ecology that has been changed in energy structure and transmission mode. With the help of hightopo digital technology, the electric energy intelligent service system expanded by digital power grid can link the upstream and downstream industries of energy and digital technology service providers. This cross-industry and cross-industrial chain cooperation is conducive to the continuous innovation of digital power grid, thus promoting the continuous progress of energy revolution and finally achieving the "double carbon goal"