Shipboard Microgrids: A Novel Approach to Load Frequency Control

the main target of this paper
is to design a new optimal Fractional Order Fuzzy PD+I Load
Frequency Controller (LFC) for islanded microgrids in a ship
power system. Since the performance of the controller depends
on its parameters, the optimization of these coefficients can play
a significant role in improving the output performance of the
LFC control. Accordingly, a modified black hole optimization
algorithm (MBHA) is utilized for the adaptive tuning of the
coefficients
of
non-integer fuzzy PD+I controller. The
performance of the shipboard microgrid is evaluated by utilizing
real world wind power fluctuation and solar radiation data.
Finally, the extensive studies and hardware-in-the-loop (HIL)
simulations are applied to prove that the proposed controller can
track the reference frequency with lower deviation as well as it is
more robust in comparison with the prior-art controllers utilized
in the case studies