چکیده
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In this paper, we study the concept and forming manner of Solid
Oxide Fuel Cell (SOFC) into the electrical system and then, its effect on small
signal stability is investigated. The paper illustrates the essential module,
mathematical analysis and small signal modeling of the SOFC joined to single
machine system. The aim of this study is to reduce power oscillations in the
presence of the SOFC with optimal stabilizer. The multi-objective Particle
Swarm Optimization (MOPSO) technique has been used for designing a Power
System Stabilizer (PSS) in order to improve the performance of the system. Two
objective functions are regarded for the design of PSS parameters in order to
maximize the damping factor and the damping ratio of the system. To evaluate
the efficiency of the proposed optimal stabilizers, four scenarios are considered
and then, its results have been analyzed. The proposed PSS tuning technique can
be applied to a multi-machine system connected to the SOFC. The efficiency of
MOPSO based proposed PSS on the oscillations the system related to SOFC is
illustrated by time-domain simulation and also, the comparison of the MOPSO
based proposed PSS with the PSS based-single objective method has been
prepared.
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