TS-Fuzzy based adaptive PEVs charging control for smart grid frequency stabilization under islanding condition
C Jamroen, P Namproom… - Procedia Computer …, 2016 - Elsevier
C Jamroen, P Namproom, S Dechanupaprittha
Procedia Computer Science, 2016•ElsevierAbstract This paper presents Takagi-Sugeno (TS) fuzzy based adaptive charging power
control of plug-in electric vehicles (PEVs) connected to smart grid, intended to improve the
performance of frequency stabilization for smart grid and to reduce the impact on consumers
from traditional stability solution, ie load shedding, especially when unintentional islanding
of the system occurs. Simulation results using DIgSILENT reveal the performance and
effectiveness of the proposed approach.
control of plug-in electric vehicles (PEVs) connected to smart grid, intended to improve the
performance of frequency stabilization for smart grid and to reduce the impact on consumers
from traditional stability solution, ie load shedding, especially when unintentional islanding
of the system occurs. Simulation results using DIgSILENT reveal the performance and
effectiveness of the proposed approach.
Abstract
This paper presents Takagi-Sugeno (TS) fuzzy based adaptive charging power control of plug-in electric vehicles (PEVs) connected to smart grid, intended to improve the performance of frequency stabilization for smart grid and to reduce the impact on consumers from traditional stability solution, i.e. load shedding, especially when unintentional islanding of the system occurs. Simulation results using DIgSILENT reveal the performance and effectiveness of the proposed approach.
Elsevier
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