Qais M. Alias; Rana Ali Abttan
Abstract
This paper presents the solution approach for the optimal reconfiguration problem in distribution networks implementing Particle Swarm Optimization (PSO) technique. Network reconfiguration ...
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This paper presents the solution approach for the optimal reconfiguration problem in distribution networks implementing Particle Swarm Optimization (PSO) technique. 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.
