Time-of-use electricity price combined with energy storage ups

Do storage systems influence electricity prices?

In the existing TOU pricing models for instance, interactions with other sources of power system flexibility such as storage devices and electric vehicles have never been studied even though bulk storage systems and plug-in electric vehicle operations may influence grid stability and electricity prices.

What is time-of-use pricing for energy storage investment?

Time-of-use Pricing for Energy Storage Investment Abstract—Time-of-use (ToU) pricing is widely used by the electricity utility to shave peak load. Such a pricing scheme provides users with incentives to invest in behind-the-meter energy storage and to shift peak load towards low-price intervals.

Can dynamic time-of-use electricity prices improve energy storage capacity?

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.

How can the optimal tou price improve the energy supply chain?

The results of the case study indicate that the optimal TOU price obtained from the proposed model can not only instruct users to discharge the electricity storage orderly and guarantee the stability of distributed energy resources to grid, but also reduce the waste in total cost of power supply chain.

What is a TOU pricing model based on the power supply chain?

Conclusions This study established a TOU pricing model based on the power supply chain for user-side microgird, in which the end-users have distributed energy storage devices. The objective of the TOU pricing is to minimize the costs of the whole power supply chain.

Does optimized time-of-use electricity price improve on-site consumption rate?

This further demonstrates that the optimized time-of-use electricity price is conducive to further improving the on-site consumption rate of new energy. Figure 5. Configuration of energy storage before and after demand response. Table 4. Optimization results of typical days in three Seasons.