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.
Collaborative measures include improving load elasticity, reducing electricity consumption, and load fluctuation with the power supply. The synergy with energy storage as the main body is to balance supply and demand and improve power quality.
The economy of energy storage is heavily influenced by the initial investment cost. Costs are falling quickly as energy storage technology advances. At present, energy storage technology in China is weak in the basic, forward-looking cross-technology field.
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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In this work, a scenario-adaptive hierarchical optimisation framework is developed for the design of hybrid energy storage systems for industrial parks. It improves renewable …
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