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.
Energy storage stations have different benefits in different scenarios. In scenario 1, energy storage stations achieve profits through peak shaving and frequency modulation, auxiliary services, and delayed device upgrades . In scenario 2, energy storage power station profitability through peak-to-valley price differential arbitrage.
From the standpoint of load-storage collaboration of the source grid, this paper aims at zero carbon green energy transformation of big data industrial parks and proposes three types of energy storage application scenarios, which are grid-centric, user-centric, and market-centric.
Among the users, the productive procedures involve the use of energy such as cold, heat, electricity, and gas. The case simulation was conducted by the software, and the daily load variation curve of the big data industrial park was derived as Fig. 6.
Energy storage is an important link for the grid to efficiently accept new energy, which can significantly improve the consumption of new energy electricity such as wind and photovoltaics by the power grid, ensuring the safe and reliable operation of the grid system, but energy storage is a high-cost resource.
In this case, the energy storage side connects the source and load ends, which needs to fully meet the demand for output storage on the power side and provide enough electricity to the load side, so a large enough energy storage capacity configuration is a must.
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