Wind Random Signal Processing Strategy Based on Weighted Entropy

Abstract

Over the last few years, wind power is the fastest growing, most widely used of the emerging renewable energy. Due to the randomness of wind power and it is not controllable, wind power is intermittent and volatility. With the increase of proportion of wind power in power grid, control the influence of wind power to power grid system frequency stability, becomes the key to ensure system stability and reliability problems. To effectively explore the wind itself implied the inherent law of random variables, this paper employed weighted entropy uncertainty measure theory, put forward multiple signal fusion method based on weighted entropy, to measure random events of the role of wind power system, power grid events to the connotation of the single attribute weight. Describes the calculating process of this method through examples and computational results, shows the frequency of random events and the limit of the inner link, for the correct decision and the selection of treatment methods to provide the basis.