Intelligent perception of power grid condition

Abstract

In face of increasingly severe challenges in energy development, a secure, stable, green, and sustainable Energy Internet has become a development tendency, as a major technological innovation that promotes the transformation of the world's power and energy systems. The essence of Energy Internet is the deep integration of energy flow and information flow, which is the in-depth perception and control of the energy network situation using advanced information technology. Electric energy equipment and its grid structure are the core of Energy Internet. Energy Internet needs to integrate all the information that can be collected to perceive the situation of power equipment and the entire grid deeply and accurately, so as to prevent sudden power outages caused by equipment failure or system instability, and to improve the reliability and economy of the entire Energy Internet. In the past few decades, a large number of fruitful research studies have been carried out on the electric energy equipment and grid state perception, which has effectively promoted the progress of grid situation perception technology. However, it still cannot meet the requirements of the future Energy Internet for in-depth and extensive perception of information. With the rapid development of latest material devices, sensing chips, microelectronics, 5G communications, artificial intelligence and digital twin technologies for situation perception, new and powerful momentum has been injected into the development of grid situation perception and the Energy Internet. This issue focuses on ‘Intelligent Perception of Power Grid Condition’, which was completed by well-known experts in the field of grid status monitoring for nearly a year. Four review papers summarise the latest research progress from the perspectives of intelligent perception of large-scale interconnected grid situation, intelligent perception of distribution network, intelligent perception of high-voltage and high-power electronic equipment and gas-insulated equipment condition, especially the deep application of artificial intelligence and new sensing technology in these fields. The future power grid will have the ‘double high’ characteristics of ‘a high proportion of grid-connected renewable energy’ and ‘a high proportion of grid-connected power electronic equipment’. Coupled with the strategic orientation of ‘carbon neutrality’, as well as the rapid progress of sensing technology, communication technology and intelligent electric equipment, it will bring huge opportunities for the improvement of the observability, controllability and intelligence of the grid. Intelligent perception of the grid situation, as an inevitable trend of development of power grid and Energy Internet in the future, is believed to receive more extensive attention and continuous investment. We hope that the topic of this issue can produce an intense spark of thought among the electric science and technology workers and promote the vigorous development of intelligent perception of grid situation. Finally, we would like to express our sincere thanks to Dr. Zheng Xiao, Ms. Yangyang Yu and Ms. Muchen Ran from ‘High Voltage’ editorial department for their full support in the planning, manuscript invitation, review and editing of this topic. It is their efficient and enthusiastic work that makes the topic available to readers as scheduled. Ju Tang, Professor of Wuhan University. He is involved in the online monitoring and fault diagnosis of HV gas insulated electric equipment insulation. Fuping Zeng, Associate Professor of Wuhan University. He is involved in the online monitoring and fault diagnosis of HV gas insulated electric equipment insulation.