In (Khalili et al., 2017), Proposed a capacity determination method for grid-scale energy storage systems (ESSs), using the exchange market algorithm (EMA) algorithm, the results show the ability of the EMA in finding the global optimum point of the storage and their hourly charging rate.
The capacity of electricity storage equipment is closely related to the installed capacity of a renewable energy system. Presenting a PV power generation system as an example, the installed capacity of PV power generation and the storage capacity of the battery must match each other.
Considering the flexible potential and cost factors, the capacity of energy storage equipment can be reasonably determined in accordance with SSES and SES. The capacity of electricity storage equipment is closely related to the installed capacity of a renewable energy system.
Conclusions This article studies the allocation of energy storage capacity considering electricity prices and on-site consumption of new energy in wind and solar energy storage systems. A nested two-layer optimization model is constructed, and the following conclusions are drawn:
When the system is at time t, the system total power generation output can be expressed as:(1) P G (t) = {P P V (t) − P E S (t) (Energy storage charging) P P V (t) + P E S (t) (Energy storage discharge)
Specifically, the energy storage power is 11.18 kW, the energy storage capacity is 13.01 kWh, the installed photovoltaic power is 2789.3 kW, the annual photovoltaic power generation hours are 2552.3 h, and the daily electricity purchase cost of the PV-storage combined system is 11.77 $. 3.3.2. Analysis of the influence of income type on economy