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.

Does energy storage configuration maximize total profits?

On this basis, an optimal energy storage configuration model that maximizes total profits was established, and financial evaluation methods were used to analyze the corresponding business models.

How does particle swarm optimization affect energy storage capacity?

Based on the forecast results of the daily generation curve and daily load curve, the particle swarm optimization algorithm was employed to allocate energy storage capacity in terms of local power balance and local power storage and local power balance and residual power storage, separately.

How much does a power grid centric scenario cost?

The investment cost of the three application scenarios is related to the capacity configuration of energy storage. The maximum cost of the power grid-centric scenario application scenario is 32.87 million yuan.

What are the economic indicators of big data industrial park?

Based on the characteristics of the source and load of big data industrial park, this paper selects typical income and cost indicators, including financial net present value, internal rate of return, and dynamic payback period of investment, to measure the economy of three scenarios of big data industrial park .

What is the average annual income of a power grid centric scenario?

Among them, the maximum annual income of the power grid-centric scenario application scenario is 83.78 million yuan, followed by the power market-centric scenario application scenario at 23.99 million yuan, and the worst annual income of the power user-centric scenario application scenario at 18.76 million yuan.