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.
Scenario design for the zero-carbon big data industrial park In this study, the big data industrial park adopts a renewable energy power supply to achieve the goal of zero carbon. The power supply side includes wind power generation and photovoltaic power generation and gains profits through arbitrage of peak–valley price difference.
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.
(1) Analysis of Peak–Valley Electricity Price Policy 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.
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Finally, taking an actual big data industrial park as an example, the economic viability of energy storage configuration schemes under two scenarios was discussed, and an energy storage
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