A Design Of Intensive Wind Power Forecasting System Oriented To Energy Internet

Scientific and technological progress and the rapid development of society,making the energy problem in the world gradually becomes the urgent content.In the face of traditional energy sources isincreasingly depleted,more important problem is environmental pollution of the production mode.Since the 20 th century,renewable energy becomes a solution for both to seek,especially wind power which hasadvantages of low carbon,less water pollution,no "three wastes" features,and great development potential.The upgrading of industrial models makes more demand for energy,which needs to explore more forms of energy and improve energy efficiency.With the energy revolution is the energy supply and demand structure changes.The integration of Internet and renewable energy technologies by Rifkin,author of the Third Industrial Revolution,shows a blueprint for the concept of energy Internet,which is a new type of energy supply and demand.Energy,Internet,renewable energy plus Internet as the core,to achieve distributed generation and electric vehicles,wide access and participation in all fair trade.The efficient use of distributed power supply is a hot topic in the world.It has been paid more and more attention by governments,industry and academia.Because of the intermittent,fluctuating and periodic characteristics of wind power generation,wind power directly affects the transmission and acceptance of large-scale power transmission to the power grid.It is one of the important measures to ensure the safe and stable operation of the power grid,because the wind power is included in the power grid scheduling plan.Distributed wind farms are characterized by large quantity,wide area and scattered distribution.Therefore,a centralized power forecasting system is needed to establish a unified management system for the subordinate wind farms.Based on the project of "Information Public Service Platform of Integrated Energy Base in Hami Area of Xinjiang",this paper presents a set of feasible design of centralized wind power forecasting system for energy Internet.