Based on the Vasicek Model Error Analysis of the New Energy Power Generation and Energy Storage Allocation Decision Method

Abstract New energy unit output prediction error probability characteristics analysis and decision alternatives to the system are of great significance. The conventional analytical model based on a specific form is not flexible enough describe distribution law actual new energy, there errors. In order suppress impact uncertainty, centralized usually needs be equipped with storage applications sufficient capacity, thus affecting economic benefits. Therefore, from point view stochastic process, according special differential equation Vasicek model, this paper gives parameter estimation method avoids expression distribution, proposes an improved allocation model. example shows that proposed algorithm has better short-term performance, which makes capacity more accurate economical.