Highlights•A Mixed Particle Swarm Optimization model is developed for optimal network
reconfiguration and DG integration.•Optimal network reconfiguration allow a better …

Distributed Generation (DG) offers the reliable and economic source of electricity to
consumers. These are connected directly to the distribution system at consumer load points …

In this paper, two metaheuristic methods, genetic algorithm and particle swarm optimization,
are proposed to determine the optimal locations, sizes, and power factors of single and …

Power loss and voltage instability are major problems in distribution systems. However,
these problems are typically mitigated by efficient network reconfiguration, including the …

Recent advances in power generation technologies using renewable energy resources,
changes in utility infrastructure and government policies tend to increase the interest in a …

This paper proposes a novel approach for the placement and sizing of distributed
generation (DG) ensuring voltage stability and reducing total power losses in electrical grid …

Appropriate location and sizing of distributed generation (DG) units in a radial distribution
system (RDS) play a significant role in the improvement of its overall performance. Indeed …

In recent years, the substantial upsurge of electricity demand has directly impacted the
performance of the distribution networks concerning the active power losses and voltage …

Optimal siting and sizing of renewable DGs can provide a clean and sustainable solution for
the smart distribution system. In this article, solar photovoltaic (SPV) and wind turbine …

A distribution system's network reconfiguration is the process of altering the open/closed
status of sectionalizing and tie switches to change the topological structure of distribution …