In general, they conclude that storage provides only a small contribution to meet residual electricity peak load in the current and near-future energy system. This results in the statement that each new storage deployed in addition to the existing ones makes the price spread smaller, see Figure 16, and, hence, reduces its own economic benefits.
In this context, storage costs compete with the price of electricity for end consumers, and if they are less than the final electricity prices (with all fees and taxes considered but not including the fixed costs), then the costs of storage demonstrate a positive economic performance.
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:
A new approach to discuss future electricity storage cost is introduced by McPherson et al. ( 2018 ), using the integrated assessment mode MESSAGE to include the uncertainties of VARET provision and abatement cost.
All market-based storage technologies have to prove their performance in the large electricity markets or if applied decentralized, the (battery) systems compete with the electricity prices at the final customers level when the battery costs are also taken into consideration.
Using dynamic time-of-use electricity prices can more flexibly obtain the capacity configuration scale of energy storage. The article adopts the capacity and maximum power values of energy storage configuration in each season, which can meet the demand for energy storage capacity in each season.