The rapid development of distributed generation in different forms and capacities is
transforming the conventional planning of distribution networks. Despite the benefits offered …

To extract the maximum potential advantages in light of environmental, economical and
technical aspects, the optimum installation and sizing of Distributed Generation (DG) in …

In order to improve the penetration of renewable energy resources for distribution networks,
a joint planning model of distributed generations (DGs) and energy storage is proposed for …

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 …

A two-stage optimization method is proposed for optimal distributed generation (DG)
planning considering the integration of energy storage in this paper. The first stage …

Voltage stability assessment is a major issue in monitoring the power system stability.
Different voltage stability indices (VSIs) have been proposed in the literature for voltage …

Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

Power loss minimization and voltage stability improvement are important areas of power
systems due to existing transmission line contingency, financial loss of utility and power …

In this paper a new meta-heuristic technique, Stud Krill herd Algorithm (SKHA) is employed
for the solution of optimal placement and sizing of Distributed Generation (DG) in radial …

This study proposes a new application of Whale Optimization Algorithm (WOA) with an aim
of finding optimal placement and size of Distributed Generation (DGs) for multi-objectives …