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Currently, capacity construction and optimal scheduling are the two critical areas of study for wind storage power generation systems. This paper will comprehen-sively consider the absorption characteristics of wind energy and other energy sources
Using a more advanced method for particle swarm optimization, the combined wind power system’s scheduling model is resolved. Lastly, an example demonstrates the scheduling model of the combined wind power system’s viability. The joint operation system is shown in Fig. 1 [10, 11].
The pre-operation programming model of wind pumping and storage is built to eliminate wind power fluctuation and increase wind farm profitability depending on the predicted wind power and load data. Using a more advanced method for particle swarm optimization, the combined wind power system’s scheduling model is resolved.
Consequently, an efficient method of achieving wind power absorption and steady grid operation is the coupling and complementarity of wind energy on the power side of the equation . Currently, capacity construction and optimal scheduling are the two critical areas of study for wind storage power generation systems.
In the context of increasing renewable energy penetration, energy storage configuration plays a critical role in mitigating output volatility, enhancing absorption rates, and ensuring the stable operation of power systems.
This paper proposes tailored energy storage configuration schemes for new energy power plants based on these three commercial modes.
The main conclusions are as follows: Gas turbine, absorber and power grid increase the robustness of the system against the risk of source-load uncertainties. The integration of energy storage units in the system reduces CDE by 2.53 % and fossil energy consumption by 2.57 %, while also improving system reliability by 0.96 %.
The results indicate that the integration of multiple energy storage units into the system reduces carbon dioxide emissions by 2.53 % and fossil energy consumption by 2.57 %, improving system reliability by 0.96 %.