  Motivated by the fact that the location(s) and structural properties of the
pinning node(s) affect the algebraic connectivity of a network with respect to
the reference value and thereby, its dynamic performance, this paper studies
the application of intelligent single and multiple pinning of distributed
cooperative secondary control of distributed generators (DGs) in islanded
microgrid operation. It is shown that the intelligent selection of a pinning
set based on the degree of connectivity and distance of leader DG(s) from the
rest of the network improves the transient performance for microgrid voltage
and frequency regulation. The efficacy of the distributed control strategy
based on the proposed algorithms is illustrated via numerical results
simulating typical scenarios for a variety of microgrid configurations.
