%0 Journal Article
%T Microgrid Optimum Identification Location Based on Accelerated Particle Swarm Optimization Techniques Using SCADA System
%A Samir Abood
%A Warsame Ali
%A John Attia
%A Pamela Obiomon
%A Muna Fayyadh
%J Journal of Power and Energy Engineering
%P 10-28
%@ 2327-5901
%D 2021
%I Scientific Research Publishing
%R 10.4236/jpee.2021.97002
%X <span style=\"font-family:Verdana;\">The microgrid has become significant and commonly
used; it has localized electricity sources and loads connected to a centralized
electrical power network</span><span style=\"font-family:Verdana;\"> system when the
need arises</span><span style=\"font-family:;\" \"=\"\"> </span><span style=\"font-family:Verdana;\">and disconnects to island mode.</span><span style=\"font-family:;\" \"=\"\"><span style=\"font-family:Verdana;\"> A microgrid can effectively be integrated with various distribution
generators, which can improve the voltage level on the transmission line by
reducing the real power</span><span style=\"font-family:Verdana;\"> losses. In this
work, new technologies will permit power grids to </span><span style=\"font-family:Verdana;\">be better prepared for
future requirements. The numbers and diversity of such decentralized power
plants require a new type of management in the operation</span><span style=\"font-family:Verdana;\"> of power grids and intelligent networks or ˇ°smart grid.ˇ± A </span><span style=\"font-family:Verdana;\">SCADA
system will improve coordination between power demand and generation and use of
modern information technology such as the internet, sensors, controllers, and
wireless transmission equipment and use smart metering. The Accelerated
Particle Swarm Optimization technique will be used to select the optimum
location of a wind turbine to install in the power grid considering minimum
power losses with optimal operation consideration of the number of iterations,
the execution time of the program, and the memory capacity. The analysis and
the study are carried out in MATLAB and the SCADA system.</span></span>
%K APSO
%K SCADA Power System
%K Accelerated PSO
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=110639