How to find industrial customers for peak-valley energy storage

Do Peak–Valley power prices affect energy storage projects?

This section sets five kinds of peak–valley price difference changes: 0.1 decreased, 0.05 decreased, 0.05 increased, 0.1 increased, investigating the economic influence of altering peak–valley power prices on energy storage projects, as shown in Fig. 8.

What is Peak-Valley spread sensitivity analysis?

Peak–valley spread sensitivity analysis. This part defines six types of energy storage that participate in market peak regulation changes: frequency modulation ratios of 0, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%, and Fig. 9 depicts the economic effect of energy storage projects in big data industrial parks.

How can energy storage benefits be improved?

By adjusting peak and valley electricity prices and opening the FM market, energy storage benefits can be greatly improved, which is conducive to promoting the development of zero-carbon big data industrial parks, and technical advances are beneficial for reducing investment costs.

What factors influence the business model of energy storage?

The factors that influence the business model include peak–valley price difference, frequency modulation ratio of the market, as well as the investment cost of energy storage, so this paper will discuss from the following perspectives.

How can big data industrial parks improve energy storage business model?

Combined with the energy storage application scenarios of big data industrial parks, the collaborative modes among different entities are sorted out based on the zero-carbon target path, and the maximum economic value of the energy storage business model is brought into play through certain collaborative measures.

Why is local storage of surplus electricity a problem?

The reason is that the scheme for local storage of surplus electricity does not consider that the excess energy does not participate in the power coordination of the external grid.