Research on collaborative planning strategy of source network load and storage based on deep learning

Abstract

In the construction and development of modern cities, creating a new power system with new energy as the main body combined with the dual-carbon strategic goal is the main topic of comprehensive exploration by government departments and power enterprises in the new era. Especially after entering the era of big data, how to meet the proportion of new energy that has risen significantly has brought new opportunities and challenges to the power system. At present, some scholars have carried out relevant research on renewable energy access to power system, and mainly put forward the collaborative planning strategy of source and network load and storage. On the basis of understanding the current situation of power grid system construction and development in the new era, this paper mainly explores the main direction of the future construction and development of the power industry according to the deep learning-centered collaborative planning strategy of source and network load and storage, in order to solve the problems existing in the current power system construction planning.