This paper proposes an application of the recent metaheuristic rider optimization algorithm
(ROA) for determining the optimal size and location of renewable energy sources (RES) …

Due to the non-linear nature of most of the loads, there is a greater demand for reactive
power in the distribution network. Further, it wasted high energy on distribution and dropped …

This paper introduces a novel application of the recently developed meta-heuristic algorithm
called Geometric Mean Optimization (GMO). The algorithm combines the unique properties …

This paper proposes a novel effective optimization algorithm called enhanced coyote
optimization algorithm (ECOA). This proposed method is applied to optimally select the …

System losses, power generation and generation cost are some of the most important factors
that significantly influence the efficiency of power systems. Integrating distributed generation …

The concurrent planning of multiple Distributed Generations (DGs), consisting of solar-DG
and DSTATCOM with reconfiguration in IEEE 33 and 69 bus Radial Distribution Network …

The penetration of distributed generation (DG) in the distribution network has become a
necessity and a significant solution to improve power grid quality, and solve power losses …

Due to the excessive use of photovoltaic (PV) systems as a grid connected or standalone
micro-grid, and high installation cost of these systems, it is recommended and required to …

Deploying distributed generators (DGs) supplied by renewable energy resources poses a
significant challenge for efficient power grid operation. The proper sizing and placement of …

Global environmental problems associated with traditional energy generation have led to a
rapid increasein the use of renewable energy sources (RES) in power systems. The …