| Summary: | Energy consumption has experienced significant
growth on a global scale in the past decade. This has caused the
growing demand of renewable energy resources into grid
systems which has led to the need for technological solutions that
can improve the stability of power systems. Electrical
transmission network is an essential component for effectively
and reliably transporting electricity. However, they are prone to
power losses, which reduce overall system efficiency and raise
operational expenses. Any remedial action to include
compensating devices into the current system will require
optimal sizing and sizing so as to avoid any over-compensation
or under-compensation phenomena. This research investigates
an approach of mitigating these losses by incorporating Battery
Energy Storage Systems (BESS) into the transmission network.
BESS is known to be a promising technology, providing several
advantages such as peak shaving, load leveling, and improved
grid stability. The purpose of this study is to find the optimal
location and sizing of battery energy to minimize loss dissipated
by the system using a newly proposed technique termed
Integrated Immune Chaotic Evolutionary Programming
(IICEP). IICEP is proposed to integrate BESS into the
transmission network with a focus on loss minimization. IICEP
integrates the operators of clonal features of Artificial Immune
System (AIS) with the addition of a chaotic element into the
original Evolutionary Programming (EP). It offers a better
solution in optimization performance. Three battery energy
storages are integrated into the network, each with the
placement and sizing to meet the goal. The algorithm of IICEP
is tested on IEEE 30- Bus RTS to observe its effectiveness. The
results are compared with the traditional EP and AIS, resulting
in a lower optimal solution of power losses
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