This paper presents the solution approach for the optimal reconfiguration problem
in distribution networks implementing Particle Swarm Optimization (PSO)
Network reconfiguration in distribution system is changing the status of
sectionalizing switches to reduce the power loss in the system. The main objective of
network reconfiguration is to find the network topology which is having the
minimum losses during any conditions exists in the network. A network
configuration is a valid solution to the problem if it satisfies reliability, security and
other operation constraints.
Particle Swarm Optimization is a robust stochastic evolutionary computation
technique, which is based on the movement and intelligence of swarms.
A standard particle swarm optimization algorithm is adapted and used in this work.
The primary case study is a part of the Baghdad area distribution network. It consists
of four feeders and 102 buses. The algorithm validity is verified first via application
to standard systems. Results show that the standard particle swarm optimization is
suitable for off-line reconfiguration studies.