A fuzzy expert system for the forecasting of wind speed and power generation in wind farms

Abstract

This paper presents a fuzzy expert system that forecasts the wind speed at a wind energy conversion system (WECS) site and the electrical power that will be generated. The user can define the forecast horizon, which can range from some minutes up to several hours ahead. After training, the system can make reliable wind speed forecasts in less than a second. The system implements wind speed and direction measuring stations that are installed around and in the WECS site. The stations send measurements via wireless modems to a central computer running the fuzzy expert system, which exploits any spatial correlation existing among the measuring stations' wind speed time series. For the training of the fuzzy expert system two genetic algorithm implementations were used and compared.