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Research on Optimizing Method of Wind Power-Energy Storage Capacity Based on Internet of Things

In order to speed up the integration of power flow, information flow and business flow, through analyzing the research status and advantages of Internet of Things technology in wind power generation at home and abroad, this paper proposes a power Internet of Things architecture oriented to wind power-energy storage capacity optimization. Intelligent sensors, mobile internet, mobile terminals, radio frequency identification technology and other equipment are applied to wind power energy storage, and the impact of wind power storage is analyzed. There are two main factors related to energy capacity: the predictive factors of wind farm output power and the objective factors of energy storage capacity optimization. Aiming at the relevant factors, a capacity optimization model of energy storage system is established, which aims at minimizing the total operation cost, charge and discharge loss and wind abandonment cost of the energy storage system. The optimal capacity allocation of the energy storage system is obtained by fitting the non-parametric estimation algorithm, which provides an effective method for the optimal allocation of the energy storage capacity of the combined wind and storage system.