Analysis report on the composition of energy storage power station operation and maintenance costs

How can energy storage power stations be evaluated?

For each typical application scenario, evaluation indicators reflecting energy storage characteristics will be proposed to form an evaluation system that can comprehensively evaluate the operation effects of various functions of energy storage power stations in the actual operation of the power grid.

How can energy storage power stations be improved?

Evaluating the actual operation of energy storage power stations, analyzing their advantages and disadvantages during actual operation and proposing targeted improvement measures for the shortcomings play an important role in improving the actual operation effect of energy storage (Zheng et al., 2014, Chao et al., 2024, Guanyang et al., 2023).

Which energy storage technologies are included in the 2020 cost and performance assessment?

The 2020 Cost and Performance Assessment provided installed costs for six energy storage technologies: lithium-ion (Li-ion) batteries, lead-acid batteries, vanadium redox flow batteries, pumped storage hydro, compressed-air energy storage, and hydrogen energy storage.

Which energy storage power station has the highest evaluation Value?

Table 3. Calculation results of relative closeness. According to the evaluation values of the operational effectiveness of various energy storage power stations, station F has the highest evaluation value and station C has the lowest evaluation value.

How long did a power station analysis last?

The analysis time range was from 0:00 on July 18, 2018 to 24:00 on August 16, 2018, lasting for 30 days. The operational statistics (single cycle utilization) of each power station are shown in the Table 2 below. Table 2.

How to evaluate energy storage power stations based on AHP - entropy weight method?

When using the TOPSIS model based on AHP - entropy weight method to evaluate energy storage power stations, the calculation steps are as follows: 1) Construct weighted normalized decision matrixes.