How to simulate energy storage peak load regulation

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.

Why is peak-regulation important in power grids?

Peak-regulation in power grids needs to follow the fluctuation of renewable energy generation in addition to the variable load demands. Moreover, the wind power curve usually shows opposite increasing trend to the load curve, which requires more peak-regulation supply to guarantee the secure operation of power grids.

Do I need to charge the energy storage system for peak shaving?

The dispatching department calls it for free. When the output of thermal power unit is between (1 − k) Pthe and 0.5 Pthe, the thermal power unit has the ability for peak shaving. At this time, there is no need to charge the energy storage system for peak shaving. To avoid deep discharge in energy storage system, SOCmin is set to 20%.

How to evaluate peak-regulation capacity of power grid?

The existing approaches for evaluating peak-regulation capability of power grid contains deterministic and probabilistic methods. In Yang et al. (2010), a deterministic model was proposed to calculate the maximum capacity of downward peak-regulation considering the constraints of unit parameters.

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).

What is the peak regulating effect of energy storage after parameter optimization?

According to the generator output curve and energy storage output curve, the peak regulating effect of energy storage after parameter optimization is better than that without parameter optimization.