Based on the actual data of wind-solar-storage power station, the energy storage capacity optimization configuration is simulated by using the above maximum net income model, and the optimal planning value of energy storage capacity is obtained, and the sensitivity analysis of scheduling deviation assessment cost is carried out.
The introduction of energy storage systems enables internal compensation of power generation from renewable energy sources within the station, enhancing the stability of output power and improving the ability to track the power generation scheduling curve. This allows the station to actively participate in power system scheduling.
It can be seen from the figure that when the configuration capacity changes, the net income of the wind-solar-storage power station shows a trend of increasing first and then decreasing. There is a maximum point of net income, and the corresponding configuration capacity is 2.84 MWh.
Wind-solar-storage''s output is constrained by storage capacity and maximum power output. The power grid side evaluates the deviation between the output of wind-solar-storage and the dispatch plan output. The part that deviates from the scheduling plan will be punished: $$ C_ {ic} = \sum\limits_ {t = 1}^ {T/\Delta t} {c (t)} $$
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