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

In recent years, scientists have extensively focused on renewable energy resources such as
wind power and solar units to reduce the consumption of fossil fuels as the main source of …

The use of distributed generation has received wide attention due to low maintenance costs,
reduced transmission line losses and network congestion, as well as minimal impact on …

In this paper, a novel, combined evolutionary algorithm for solving the optimal planning of
distributed generators (OPDG) problem in radial distribution systems (RDSs) is proposed …

This paper proposes an iterative-analytical method to find the optimal size and site of
distributed generation units in a radial distribution system to reduce the maximum possible …

Meta heuristic algorithms have been introduced as a powerful method to solve the nonlinear
optimization problems. These algorithms have been employed in many complex …

This paper presents the application of heuristic optimization techniques for determining
optimal placement and sizing of photovoltaic-based distributed generation (PVDG) in a …

This paper reviews the methods employed for the optimal planning of Distributed Generation
(DG) for the past few years to overcome power quality issues. The motivations, advantages …

In this paper, a novel hybrid population-based meta-heuristic algorithm, called the hybrid
Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is …

The optimum installation of distributed generation (DG) units in distribution systems has
always been challenging due to the continually increase of electrical energy demands …