A comparative study of wind power forecasting techniques — A review article

摘要

Globally, the power demand is increasing very rapidly. To meet this demand, the traditional expansion of conventional and fossil fuels leads to global warming. Also the long-term availability of the coal and other conventional energy sources is limited, which is one more reason for choosing renewable sources to generate electrical power. But, the major renewable energy sources especially wind energy is highly uncertain in its nature. In fact the high variability of wind power generation is affecting the power system operation. The integration of the renewable energy systems to grid is also an issue in terms of operation and control. The wind power forecasting has a major role in determining the size of operating reserves to balance the generation with load. To reduce the operating costs and to improve the reliability of the grid integrated to wind power systems, accurate wind power forecasting tools are necessary. This paper discusses the classification, various forecasting techniques and methods, performance evaluation factors etc. in forecasting of wind speed and wind power generation. This survey significantly shows the better performance by hybrid artificial intelligence models in terms of accuracy.