Institute of Smart Power Distribution and Consumption

来源:tyc86太阳集团发布时间:2026-04-16浏览次数:16


Institute of Smart Power Distribution and Consumption (ISPDC) is affiliated with School of Electric Engineering, Southeast University. It is mainly engaged in the research of fundamental theory and key technology in the field of flexible power distribution and smart power consumption, including active distribution network planning and running, flexible power distribution theory and application, analysis and countermeasure of new energy power generation access to distribution network, energy storage configuration and operation control strategy, virtual power plant, flexible load regulation, load virtual synchronous machine, non-invasive load measurement technique, data analysis and application technology of power distribution and consumption. Many research outcomes have been successfully used for industry application.

Now ISPDC has more than 50 full-time researchers with 6 Professors, 1 Associate Professors. In recent years, ISPDC has been in charge or participated in more than 100 research projects, including the National Key Research Programs, the National Science and Technology Support Programs, the National Natural Science Foundations, the Doctoral Scientific Foundations of the Ministry of Education, the Natural Science Foundations of Jiangsu Province, State Grid and so on, with the funding above 18 million yuan per year. It was awarded the 1st prize of technical innovation of the Ministry of Education, the 1st prize of Jiangsu science and technology progress, the 2nd prize of Jiangxi science and technology progress, the 2nd prize of Jiangsu science and technology progress, the 3rd prize of Jiangsu science and technology progress (twice), the 2rd prize of State Grid science and technology progress (twice), and the 1st prize of Jiangsu electrotechnical science and technology progress.

Currently, ISPDC has achieved numerous practical results in fields such as medium and low voltage topology identification, virtual synchronous machines for air conditioning loads, GPU parallel simulation, and big data analysis for distribution networks.