The implementation of renewable energy brings numerous advantages including reduction
of power transmission cost and minimization of the global warming problems. The …

Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Distributed generation is a collective term that covers the generation of energy at micro level,
distributed in a location near the end user by using renewable and nonrenewable …

In this paper, improved single-and multi-objective Harris Hawks Optimization algorithms,
called IHHO and MOIHHO, respectively are proposed and applied for determining the …

Bat algorithm is a novel bio-inspired stochastic optimisation algorithm. However, due to the
limited exploration and exploitation capabilities, the performance is not well when dealing …

Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …

Placement of optimally sized distributed generator (DG) units at optimal locations in the
radial distribution networks can play a major role in improving the system performance. The …

With the development of clean energy technologies, the integration studies of electrical grids
and fuel cells have increased significantly in research and practical implementations …

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 …

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 …