标题:
Microgrid Optimum Identification Location Based on Accelerated Particle Swarm Optimization Techniques Using SCADA System
作者:
Samir Abood, Warsame Ali, John Attia, Pamela Obiomon, Muna Fayyadh
关键词:
APSO, SCADA Power System, Accelerated PSO
期刊名称:
Journal of Power and Energy Engineering,
Vol.9 No.7,
July
19,
2021
摘要: The microgrid has become significant and commonly
used; it has localized electricity sources and loads connected to a centralized
electrical power network system when the
need arises and disconnects to island mode. 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 losses. In this
work, new technologies will permit power grids to be better prepared for
future requirements. The numbers and diversity of such decentralized power
plants require a new type of management in the operation of power grids and intelligent networks or “smart grid.” A 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.