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.
The considered costs include (1) investment, operation, and maintenance (O&M) costs of WFs, PVFs, and BESS; (2) imported energy cost for loads and power losses from the main power grid; and (3) generated emission cost from conventional power plants considering time-varying generation and consumption.
For instance, in Guangdong Province, new energy projects must configure energy storage with a capacity of at least 10% of the installed capacity, with a storage duration of 1 h . However, the selection of the appropriate storage capacity and commercial model is closely tied to the actual benefits of renewable energy power plants.
Therefore, the usage cost of energy storage is equivalent to the construction investment cost and operational cost, which is the full lifecycle cost. where (F_ {21}), (F_ {23}) are the economic benefit indicators under the self-built and sharing mode respectively, namely the investment cost of energy storage.
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The considered costs include (1) investment, operation, and maintenance (O&M) costs of WFs, PVFs, and BESS; (2) imported energy cost for loads and power losses from the main power
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