Energy storage peak load regulation field scale

What is peak-regulation capability of a power grid?

Principle of the evaluation method The peak-regulation capability of a power grid refers to the ability of power supply balancing with power load, especially in the peak load and valley load periods. Specifically, the adjustment range of power supply in one day should be high enough to reach the peak load and low enough to reach the valley load.

How effective is peak-load regulation capacity planning?

Based on probabilistic production simulation, a novel calculation approach for peak-load regulation capacity was established in Jiang et al. (2017), which is still effective for peak-regulation capacity planning when some information of renewable energy and loads is absent.

What is peak regulation?

Peak-regulation refers to the planned regulation of generation to follow the load variation pattern either in peak load or valley load periods. Sufficient peak-regulation capability is necessary for the reliable and secure operation of power grid, especially in urban regions with extremely large peak–valley load difference (Jin et al., 2020).

Can battery energy storage system capacity optimization improve power system frequency regulation?

This article proposes a novel capacity optimization configuration method of battery energy storage system (BESS) considering the rate characteristics in primary frequency regulation to improve the power system frequency regulation capability and performance.

What is the multi-timescale regulation capability of a power system?

The multi-timescale regulation capability of the power system (peak and frequency regulation, etc.) is supported by flexible resources, whose capacity requirements depend on renewable energy sources and load power uncertainty characteristics.

What is peak-regulation capability?

Also, the peak-regulation capability determines the renewable energy consumption and power loads of cities by mitigating power output fluctuation in the regulation process of power grid.