Learn More
A new maximum power point tracking (MPPT) controller using artificial neural networks (ANN) for variable speed wind energy conversion system (WECS) is proposed. The algorithm uses Jordan recurrent ANN and is trained online using back propagation. The inputs to the networks are the instantaneous output power, maximum output power, rotor speed and wind speed,(More)
An automatic power management system, to monitor the distribution of power to a set of load banks, is presented in this paper. The required power is generated from a laboratory-size pitch-controlled wind turbine experimental workstation. The management system is a sequence of logic expressions, based on the generated power, a profile of the banks' states(More)
This paper presents a new wind speed sensorless maximum power point tracking (MPPT) controller for variable speed wind energy conversion systems (WECS). The MPPT control of the WECS, in this work, is achieved using optimum speed - power curve of the WECS after taking into account the changes in system efficiency while operating at different operating points(More)
A new maximum power extraction (MPE) controller for variable speed permanent magnet synchronous generator (PMSG) wind energy conversion systems (WECS) is proposed. The proposed controller generates optimum speed reference signal for the speed control loop of the vector controlled machine side converter control system without requiring the knowledge of wind(More)
  • 1