Research on the Business Model and Cost Recovery Mechanism
Result The application scenarios, business models and cost recovery mechanism of new energy storage on the "source-grid-load" side were sorted out, and the existing problems and policy
Grid energy storage, also known as large-scale energy storage, is a set of technologies connected to the electrical power grid that store energy for later use. These systems help balance supply and demand by storing excess electricity from variable renewables such as solar and inflexible sources like nuclear power, releasing it when needed.
The study considers investors' continuous capacity investment in generation-side ESS projects under both electricity price and subsidy policy uncertainties. Assume that the ESS project has an installed capacity of q and is gradually completed through n stages of sequential investment.
However, the power system is facing the problem of deteriorating power quality and decreasing power security level due to the volatility and randomness of renewable energy generation . Power generation-side energy storage systems (ESS) with a fast response rate and high regulation accuracy have become essential to solving this problem .
Chen et al. combined evolutionary game theory with real options to develop an investment decision model for microgrids with ESS, and applied it to guide ESS subsidy policies for microgrids. The results of the study showed that price subsidies had the most significant impact on investment in ESS projects.
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