Title :
A Fast PV Power Tracking Control Algorithm With Reduced Power Mode
Author :
Ahmed, Arif ; Li Ran ; Sol Moon ; Joung-hu Park
Author_Institution :
Dept. of Electr. Eng., Soongsil Univ., Seoul, South Korea
Abstract :
This paper presents a fast maximum power point tracking (MPPT) control algorithm for the photovoltaic (PV) in a hybrid wind-PV system, in which the PV generatormay also need to work in a reduced power mode (RPM) to avoid dynamic overloading. The two control modes, MPPT and RPM, are inherently compatible and can be readily implemented, without the need of a dumping load for the RPM. Following the establishment of a dynamic system model, the study develops the guidelines to determine the variables of a direct hill-climbing method for MPPT: the perturbation time intervals and the magnitudes of the applied perturbations. These results are then used to optimally set up a variable-step size incremental conductance (VSIC) algorithm along with adaptive RPM control. The power tracking performance and power limiting capability are verified by simulation and experiment.
Keywords :
adaptive control; hybrid power systems; maximum power point trackers; perturbation techniques; photovoltaic power systems; power generation control; reduced order systems; wind power plants; MPPT; VSIC; adaptive RPM control; applied perturbation magnitudes; direct hill-climbing method; dynamic overloading avoidance; dynamic system model; fast PV power tracking control algorithm; fast maximum power point tracking control algorithm; hybrid wind-PV system; perturbation time intervals; power limiting capability; reduced power mode; variable-step size incremental conductance algorithm; Hill climbing; maximum power point tracking (MPPT); photovoltaic (PV) power; reduced power mode (RPM);
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2013.2266343