  This paper investigates the operation of a hybrid power system through a
novel fuzzy control scheme. The hybrid power system employs various autonomous
generation systems like wind turbine, solar photovoltaic, diesel engine,
fuel-cell, aqua electrolyzer etc. Other energy storage devices like the
battery, flywheel and ultra-capacitor are also present in the network. A novel
fractional order (FO) fuzzy control scheme is employed and its parameters are
tuned with a particle swarm optimization (PSO) algorithm augmented with two
chaotic maps for achieving an improved performance. This FO fuzzy controller
shows better performance over the classical PID, and the integer order fuzzy
PID controller in both linear and nonlinear operating regimes. The FO fuzzy
controller also shows stronger robustness properties against system parameter
variation and rate constraint nonlinearity, than that with the other controller
structures. The robustness is a highly desirable property in such a scenario
since many components of the hybrid power system may be switched on/off or may
run at lower/higher power output, at different time instants.
