  The applicability of fractional order (FO) automatic generation control (AGC)
for power system frequency oscillation damping is investigated in this paper,
employing distributed energy generation. The hybrid power system employs
various autonomous generation systems like wind turbine, solar photovoltaic,
diesel engine, fuel-cell and aqua electrolyzer along with other energy storage
devices like the battery and flywheel. The controller is placed in a remote
location while receiving and sending signals over an unreliable communication
network with stochastic delay. The controller parameters are tuned using robust
optimization techniques employing different variants of Particle Swarm
Optimization (PSO) and are compared with the corresponding optimal solutions.
An archival based strategy is used for reducing the number of function
evaluations for the robust optimization methods. The solutions obtained through
the robust optimization are able to handle higher variation in the controller
gains and orders without significant decrease in the system performance. This
is desirable from the FO controller implementation point of view, as the design
is able to accommodate variations in the system parameter which may result due
to the approximation of FO operators, using different realization methods and
order of accuracy. Also a comparison is made between the FO and the integer
order (IO) controllers to highlight the merits and demerits of each scheme.
