In recent years, energy consumption in universities and colleges has accounted for about 10% of the total energy consumption of Chinese society. In order to achieve the goal of carbon peaking and carbon neutrality, it is a major trend to build a new, cleaner campus power system. At the same time, fully exploiting the flexibility of campus loads is also conducive to the accommodation of renewable energy. This paper provides an optimal dispatch approach to achieve low-carbon in a campus smart grid. Firstly, a green electricity trading mechanism based on power-load matching was proposed. Secondly, flexible load models in the campus for electric vehicles, air conditioners, energy storage, and other loads were established. Thirdly, a day-ahead renewable energy power prediction method based on weather forecast data for a campus wind-solar-storage combined operation power system is proposed. Finally, by means of load regulation measures, such as flexible class schedule, an optimal dispatch approach for the low-carbon campus power system was established. The case study shows that adopting load regulation measures can effectively promote the consumption of renewable energy sources and support the development of the low-carbon campus.
Keywords renewable energy, low-carbon campus, optimal dispatch, smart grid, flexible load