Optimized scheduling study of user side energy storage in cloud energy
Among them, user-side small energy storage devices have the advantages of small size, flexible use and convenient application, but present decentralized characteristics in space.
Among them, user-side small energy storage devices have the advantages of small size, flexible use and convenient application, but present decentralized characteristics in space.
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This paper proposes tailored energy storage configuration schemes for new energy power plants based on these three commercial modes.
The purpose of energy storage system planning is to store the surplus electricity generated during the process of new energy generation, thereby reducing the costs associated with curtailed wind and solar power, enhancing the economic efficiency of power system operation, and ultimately lowering the overall cost of distribution networks.
Due to the uncertainty in the output of new energy power plants, there is a phenomenon of power curtailment during actual output. By configuring energy storage, new energy power plants can store the excess energy and discharge it when the output is insufficient, thus compensating for the power deficit.
The proposed planning framework is modelled as a two-stage MILP model based on scenarios via the stochastic optimization method. In the first stage, investment decisions are made for two types of energy storage: battery energy storage (short term) and hydrogen energy storage (long term).