Title :
A fuzzy expert system for the forecasting of wind speed and power generation in wind farms
Author :
Damousis, I.G. ; Dokopoulos, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ., Thessaloniki, Greece
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
Keywords :
expert systems; fuzzy systems; genetic algorithms; learning (artificial intelligence); power engineering computing; wind power plants; WECS; central computer; electrical power generation; forecast horizon; fuzzy expert system; genetic algorithm implementations; training; wind energy conversion system; wind farms; wind speed forecasting; wind speed time series; wireless modems; Hybrid intelligent systems; Load forecasting; Power generation; Power system reliability; Time measurement; Velocity measurement; Wind energy; Wind energy generation; Wind forecasting; Wind speed;
Conference_Titel :
Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6681-6
DOI :
10.1109/PICA.2001.932320
