Self-Learning operation management for variable speed wind energy converters

Abstract

A self-learning power control procedure for variable speed wind energy converters was developed to minimise electric power fluctuation at maximum energy yield. Wind speed is a stochastic changing value, while its probability distribution is subject to seasonal and even daily changes. To take this characteristic into account, a control based on iterative adapting control algorithms was implemented. The new control method was compared to conventional control methods, where it proved to be very effective and yields better results in terms of smooth power output and power coefficient.