This paper constructs an energy storage configuration model for new energy power plants using game theory and proposes a comprehensive benefit evaluation method. The main conclusions are: Energy storage configuration models were developed for different modes, including self-built, leased, and shared options.
Research on optimal energy storage configuration has mainly focused on users, power grids [17, 18], and multienergy microgrids [19, 20]. For new energy systems, the key goals are reliability, flexibility, and minimizing operational costs, with limited exploration of shared energy storage.
However, in the shared mode, multiple new energy power plants can interact and share energy storage, reducing their overall dependence on storage systems. In the leased and self-built modes, new energy power plants must independently lease or build energy storage 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.
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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
In view of the increasing trend of the proportion of new energy power generation, combined with the basic matching of the total potential supply and demand in the power market, this paper puts forward the
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