Abstract

This study used Hybrid Genetic-Particle Swarm Optimization (HGPSO) and Particle Swarm Optimization (PSO) for the allocation of Distributed Generation (DG) in order to minimize the total real loss and improve voltage profile in a primary distribution system. The mutation operation of the Genetic Algorithm (GA) is implemented into the Particle Swarm Optimization (PSO) approach. One aspect missing from existing approaches is the capability to efficiently site and size a predefined number of DGs. Here, Hybrid Genetic-Particle Swarm Optimization aims to overcome this shortcoming. The results obtained from the proposed algorithm applied to a 45-bus radial distribution system demonstrate its good performance and capability. Results show that the HGPSO is better than PSO in order to obtain the maximum loss reduction as well as maximum voltage profile improvement for each case of optically placed multi-DGs.

Keywords:

Distributed generation, hybrid genetic-particle swarm optimization, particle swarm optimization, real power loss, sitting and sizing, voltage profile,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.