Abstract:

The increasing integration of renewable energy sources such as modern wind power into the grid has improved energy output, but it has also brought about fluctuating grid risks. The application of power grid risk warning models and energy storage technology has effectively alleviated this problem. This article summarizes the design logic and real-time scheduling strategy of the power grid risk warning model supported by energy storage technology. Firstly, it elaborates on the classification and response characteristics of mainstream energy storage technologies, the types of power grid risks, and the role of energy storage equipment in the risk model; Introduce the design steps of the warning model again, covering multi-source data fusion, noise reduction, and composite modeling prediction; Continuing to explore the peak shaving, frequency regulation functions, and layered control strategies in real-time energy storage scheduling; Finally, the focus is on analyzing the collaborative mechanism of multiple types of energy storage, pointing out that hybrid energy storage is the trend and fuzzy control is needed to solve the problem of power allocation.

Key words: energy storage technology, dispatch, FM