Research on Multiple Time-scale Wind Power Output Reconstruction
Abstract
A wind power time-series model is needed to make research about wind power integration, but most existing studies about wind power output reconstruction is based on single time scale. This paper discusses how to reconstruct wind power output on multiple time scales. The importance of wind power reconstruction technology is illustrated, a method of short-term reconstruction based on ARMA is put forward, and a method of long-term reconstruction based on MCMC is proposed. Calculation results show that the above methods are effective in solving the problem of the demand for wind power simulation data in wind farm planning, and has practical value in the consequential study on wind power capacity credit and reliability assessment of wind power integrated systems.
Keywords
Multiple time scales, Statistic characteristics, Markov chain, Reconstruction.
DOI
10.12783/dtetr/iceea2016/6676
10.12783/dtetr/iceea2016/6676
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