This study addresses the application of an enhanced binary particle swarm optimization algorithm to generate optimal switching topology along radial distribution networks. The objective function is established with a weighting factor to offer flexibility consistent with the user decision. The active power loss minimization, voltage profile improvement, and enhancements of fast voltage stability indices are approached. Various S- and V-shaped transfer functions are attempted and analyzed to guarantee good performance of the proposed approach. The proposed method is applied to two well-known systems: the 33- and the 118-node radial distribution networks, to validate its significance and applicability. The realized results are compared to those reported for other recent heuristic competing techniques in the literature. The comparisons and subsequent discussions prove that the proposed methodology is able to generate high-quality solutions to the optimal switching schemes.
Optimal Reconfiguration Comprising Voltage Stability Aspect Using Enhanced Binary Particle Swarm Optimization Algorithm
Electric power components and systems ; 43 , 14
2015
Article (Journal)
English
Particle Swarm Optimization Algorithm
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